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Part 1. Definition 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 prob...
De emotie van het bezoeken van een museum is voelbare waarderingen.
7
NIv2
task409_mickey_nl_sentence_perturbation_generation
fs_opt
[ -0.5923432111740112, 0.6121637225151062, -0.1795351654291153, 0.04994668439030647, 0.018290583044290543, -0.5288130640983582, 0.13083049654960632, 0.18996953964233398, 0.390763521194458, -0.7481632232666016, -0.5269492864608765, 0.5008293390274048, -0.6277302503585815, 0.17005494236946106,...
In this task, you need to provide the correct option for a given problem from the provided options. [Q]: Problem: 16 balls are numbered 1 to 16 . a ball is drawn and then another ball is drawn without replacement . what is the probability that both balls have even numbers ? Options: a ) 4 / 11 , b ) 5 / 17 , c ) 6 / ...
c
5
NIv2
task1421_mathqa_other
fs_opt
[ 0.5055259466171265, 0.9286196231842041, -0.3414824903011322, -0.4271628260612488, -0.37786611914634705, 0.5328109264373779, -0.038266364485025406, 0.7512736320495605, -0.06955572962760925, -0.35841143131256104, 0.19086167216300964, 0.5934674739837646, 0.44239774346351624, -0.45167636871337...
Definition: You are given a concept, and a list of answers. You should generate a question about the concept that leads to the given answer(s). Input: concept: Ko Samui answers: ['UTC+07:00'] Output:
where to stay in thailand koh samui?
2
NIv2
task1602_webquestion_question_genreation
zs_opt
[ 0.4579679071903229, 0.04029858112335205, -0.3761886656284332, -0.3459475338459015, -0.5721979141235352, -0.8178951144218445, 0.015418685972690582, -0.19274061918258667, 0.05677953362464905, 0.09459887444972992, 0.3697369694709778, -0.12521064281463623, -0.36653292179107666, 0.0904707312583...
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. Let me give you an example: She designed monumental Loviisa war cemetery in 1920. The answer to this example can be: He designed monumental Lovissa war c...
I'm around that age myself. I can finally grow a beard. What would help you feel better?
8
NIv2
task1669_md_gender_bias_text_modification
fs_opt
[ -0.7534480094909668, 1.360891580581665, -0.4388410151004791, -0.7228571772575378, -0.2993431091308594, -0.7223823070526123, 0.3089287579059601, 0.7885435223579407, 1.176703929901123, -0.348776251077652, -0.8688349723815918, 0.4252927303314209, -0.9818840026855469, -0.7794880867004395, 0....
In this task, you are given a sentence and question which can be answered using the sentence. Your task is to answer the question using the information from the sentence. The answer to the question is unique and it is a continuous text span from the sentence. Sentence: Migrants to Belfast came from across Ireland , Sc...
Migrants to Belfast
0
NIv2
task1520_qa_srl_answer_generation
zs_opt
[ -0.5146695971488953, 1.7436249256134033, 0.3404330611228943, -0.45601218938827515, -0.35336941480636597, -0.8547776341438293, 0.556975781917572, -0.05534215271472931, 0.2153645157814026, -0.49282270669937134, -0.7875475883483887, 0.8772017955780029, -0.8936521410942078, -0.0250957477837800...
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B". Carrie's store has more loyal customers than Patricia's store does because _ 's store is older. (A) Carrie (B) Patricia
A
0
NIv2
task1391_winogrande_easy_answer_generation
zs_opt
[ 0.43159663677215576, 0.1593915969133377, -0.39385589957237244, -0.1732410341501236, -0.22881969809532166, -0.8236696720123291, 0.1247842013835907, 0.6416117548942566, 0.8934457898139954, 0.7317670583724976, 0.32000917196273804, -0.2811044454574585, 0.41983920335769653, -0.05734014511108398...
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese. الدعم يمكن ان يكون بان نسأل الناس اسئلة, نعطيهم قطعة من الورق بها هيكل تنظيمي او بعض الرسومات التوضيحية, ولكن لابد ان ندعم ذلك. サポートは他人に質問してみることであることかもしれません組織図かもしくは理解の助けになるイメージが書かれた一枚の紙を渡してみましょうともかくサポートが必要なのです وهذا يحدث ال...
様々な種類の植物が様々な場所で育ちます花粉の中には他の花粉より遠くに飛ぶものもあります
0
NIv2
task1231_ted_translation_ar_ja
fs_opt
[ -0.7545766830444336, 0.5049524903297424, -0.2618556618690491, -0.4267162084579468, -0.7200028300285339, -0.5750709772109985, 1.2632091045379639, 0.30535629391670227, 0.25406163930892944, -0.9418551921844482, -1.328309416770935, 0.05058443546295166, -0.5243880748748779, 0.7284137010574341, ...
Definition: 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.,...
yes
2
NIv2
task472_haspart_classification
zs_opt
[ -0.7078018188476562, 0.1835683137178421, 0.4806668758392334, 0.31909120082855225, -0.22346070408821106, -0.4963086247444153, -0.09512177854776382, 1.2878139019012451, 0.9841570258140564, -0.4500713348388672, -0.4940527677536011, -0.18344755470752716, -0.007146337069571018, -0.3548884689807...
Definition: In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephon...
N
2
NIv2
task204_mnli_same_genre_classification
zs_opt
[ -1.0645549297332764, 0.5480087995529175, -0.07618443667888641, -0.5856625437736511, -0.08518275618553162, 0.5150608420372009, 0.5849272012710571, 0.27146661281585693, 0.14181935787200928, -0.23005470633506775, -0.7080137729644775, 0.1658150851726532, -0.6930965185165405, -0.271257221698761...
TASK DEFINITION: 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 incom...
Charlotte
8
NIv2
task075_squad1.1_answer_generation
fs_opt
[ 0.2567153573036194, 0.5496571660041809, -0.11035165190696716, -0.13330666720867157, 0.6293309926986694, -0.02332463301718235, 0.7565850615501404, 0.7672743797302246, 0.37182462215423584, 0.26103413105010986, -0.2757408022880554, 0.557895302772522, -0.953522801399231, 0.18389618396759033, ...
You will be given a definition of a task first, then some input of the task. 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. Ma...
G, V, j, z, d, H, i, j, m, A, J, v, 6807, 5113, 8211, 8517, 9741, 7267, 3169, 1129, 5897, 9353, 6053, 8833, 239, 9445, 4409, 1841, 7589, 9297, 163, 8129
1
NIv2
task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately
zs_opt
[ 0.02688647247850895, 0.16447411477565765, -0.4758515954017639, -0.14047738909721375, 0.11904368549585342, -0.3602781295776367, -0.3755916357040405, 0.4811566472053528, -0.4815179109573364, 0.2454065978527069, -0.9019308090209961, -0.430241197347641, 0.10477316379547119, 0.1429733783006668,...
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 jump at the same time at the beach.
4
NIv2
task189_snli_neutral_to_contradiction_text_modification
zs_opt
[ -0.6056861877441406, 0.8036914467811584, 0.16778972744941711, -1.1837732791900635, -0.12911257147789001, -0.5705990791320801, -0.05061333253979683, 0.5378624796867371, -0.01875728741288185, -0.5031216144561768, -0.8993561267852783, -0.6439435482025146, -0.5089250802993774, 0.13462041318416...
Instructions: In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily un...
The average yearly low in Laurel, MD is 46.7°F.
3
NIv2
task1409_dart_text_generation
zs_opt
[ -0.7490850687026978, 0.17704516649246216, -0.9186766743659973, -0.6621685028076172, 0.1867239773273468, 0.06186128407716751, 0.636414647102356, -0.3176019489765167, -0.6939290761947632, -0.7810429334640503, -0.9800796508789062, -0.1184757724404335, -0.12802104651927948, 0.12188693881034851...
Detailed Instructions: You are given a statement written in Oriya. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Q: Statement: ଆନ୍ତର୍ଜାତିକ ଯୋଗ ଦିବସ ବିଶ୍ୱବ୍ୟାପୀ ଜୁନ ୨୧ ତାରିଖରେ ପାଳନ ହୁଏ । ଆନ୍ତର୍ଜାତିକ ସ୍ତରରେ ଏ...
ଭାରତ
9
NIv2
task951_wiki_cloze_or_multiple_choice_question_answering
zs_opt
[ 0.7025820016860962, 1.2964730262756348, -0.42633217573165894, 0.43269890546798706, -0.46275848150253296, -0.6474108099937439, -0.2880558669567108, 0.7244408130645752, -0.022925470024347305, -0.04463755339384079, -0.3190491497516632, 0.19672080874443054, -0.18114784359931946, -0.39447766542...
You are given a statement written in Hindi. 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 . [EX Q]: Statement: <MASK> के LLCs प्राइवेट कंपनियों के रूप में जाने जाते हैं जिनके अंत में प्राइवेट लिमिटेड (Pvt. L...
बांसवाड़ा
6
NIv2
task947_wiki_cloze_hi_multiple_choice_question_answering
fs_opt
[ -0.2721385657787323, 0.6631994247436523, 0.09046948701143265, 0.06837619841098785, 0.14574763178825378, -0.12715360522270203, 0.45554929971694946, 1.2631652355194092, -0.6305141448974609, -0.06359922140836716, -0.2800094187259674, -0.0320960208773613, 0.00887979380786419, -0.72612500190734...
Given the task definition, example input & output, solve the new input case. In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will b...
Changed
1
NIv2
task515_senteval_odd_word_out
fs_opt
[ -0.4904126524925232, 0.758787214756012, 0.2540266215801239, -0.5296236276626587, 0.3407127857208252, -0.1691514402627945, 0.11534682661294937, 0.8494054079055786, 0.40434902906417847, -0.2386963814496994, -0.6064257025718689, -0.685383141040802, -0.585163950920105, -0.24472200870513916, ...
TASK DEFINITION: Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses ...
Positive
8
NIv2
task420_persent_document_sentiment_classification
fs_opt
[ -0.19844859838485718, -0.14664296805858612, -0.8009610772132874, 0.09470942616462708, 0.8841555714607239, -0.2181096225976944, 1.0902109146118164, 0.6301469802856445, 0.22433024644851685, 0.26718318462371826, 0.10695302486419678, 1.2449853420257568, -0.6191393733024597, 0.18455544114112854...
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'. Q: Home was gone by John. A:
0
4
NIv2
task1346_glue_cola_grammatical_correctness_classification
zs_opt
[ 0.0758678987622261, 0.9869400262832642, -0.07736793160438538, -0.7864980697631836, 0.28616029024124146, -1.7708884477615356, 0.15233339369297028, 0.3345605731010437, -0.3001634180545807, -0.1515771895647049, -0.6637883186340332, 0.09351277351379395, -0.8173826932907104, -0.738926887512207,...
Given the task definition, example input & output, solve the new input case. Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is. Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した...
ລັດຖະມັນຕີກະຊວງຄຸ້ມຄອງພົນລະເມືອງ ທ່ານຄຼີສໂຕສ ປັບປຸດຊິສໄດ້ອອກມາກ່າວຂໍໂທດຕໍ່ການສູນເສຍ ກ່າວອ້າງວ່າການຮັກສາຄວາມປອດໄພໃນຫໍສະແດງຜົນງານດັ່ງກ່າວແມ່ນ "ບໍ່ມີຢູ່ຈິງ."
1
NIv2
task1124_alt_ja_lo_translation
fs_opt
[ -0.5861204862594604, 0.6824935078620911, -0.8111720085144043, 0.2956008315086365, -0.013636576011776924, -0.12494689971208572, 0.3902971148490906, 0.3771837651729584, 0.049057308584451675, -0.8039276599884033, -0.7960847616195679, 0.9887487888336182, -0.45842117071151733, 0.724963188171386...
In this task, you must classify if a given review is positive/negative, indicating your answer as P or N. Example input: plot : two teen couples go to a church party , drink and then drive . they get into an accident . one of the guys dies , but his girlfriend continues to see him in her life , and has nightmares . wh...
N
3
NIv2
task1361_movierationales_classification
fs_opt
[ 0.1916532814502716, 0.3047994375228882, -0.5837050676345825, -0.021823201328516006, 0.16201888024806976, -0.1891285926103592, 1.186466932296753, 0.9652066230773926, -0.3343427777290344, 0.17710183560848236, -0.1206875890493393, 0.1570967584848404, -0.19284775853157043, -0.1796717345714569,...
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is. Q: 数時間かかることが予想される活動の中で、いくつかの電動ボートと偵察飛行機は、生き残っているクジラたちがナチュラリスト岬へ向かうのに付き添った。 A:
ទូកខ្លាំងជាច្រើននិងយន្តហោះមួយត្រូវបានអមត្រីបាឡែនដែលនៅរស់ឆ្ពោះទៅកាន់ជ្រោយធម្មជាតិ នៅក្នុងប្រតិបត្តិការដែលរំពឹងថានឹងចំណាយពេលជាច្រើនម៉ោង។
9
NIv2
task1121_alt_ja_khm_translation
zs_opt
[ -0.12191180139780045, 0.21198195219039917, -0.31821173429489136, -0.6991754174232483, -0.5328986644744873, -0.8346596956253052, 0.3292888402938843, -0.6497805118560791, -0.35771793127059937, 0.22744403779506683, -0.266599178314209, -0.01190493255853653, -0.8067612648010254, 0.0855925083160...
Given a sentence in Italian, generate a new Italian 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...
Il menu principale del mio servizio internet parla come un giornale.
0
NIv2
task408_mickey_it_sentence_perturbation_generation
zs_opt
[ -0.8289180397987366, 0.639434814453125, -0.16033434867858887, 0.04659022390842438, -0.4463052451610565, -0.3406468629837036, 0.37143293023109436, 1.4816349744796753, -0.05664466321468353, -0.5731105804443359, -0.6218651533126831, 0.05304499343037605, -0.5408380031585693, 0.2768534123897552...
Teacher: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update provides addition...
weakener
2
NIv2
task935_defeasible_nli_atomic_classification
fs_opt
[ 0.5377446413040161, -0.24313855171203613, -0.7825223207473755, 0.01121631357818842, 0.011013784445822239, -1.054621696472168, 0.9880867004394531, 1.0493204593658447, 0.2991991639137268, -0.5498365163803101, -0.9562349915504456, 0.029333360493183136, -0.8119491338729858, -0.3001312613487243...
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese. Teacher: Now, understand the problem? Solve this instance: يمكن بالتأكيد أن يتم ذلك بواسطة الناس في هذه الغرفة. Student:
As pessoas nesta sala poderiam fazê-lo definitivamente.
6
NIv2
task1109_ted_translation_ar_pt
zs_opt
[ 0.26852837204933167, 0.7400252819061279, 0.03408529609441757, -0.5985623598098755, -0.24679666757583618, -0.3834657669067383, 0.3886895477771759, 0.8525878190994263, 0.723763108253479, -0.44097471237182617, -0.320195734500885, 0.03539681062102318, -0.44734564423561096, -0.22864431142807007...
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False". Problem:The pomegranate molasses arrived on time and in good condition. I encountered this as an ingredi...
False
8
NIv2
task587_amazonfood_polarity_correction_classification
zs_opt
[ 0.3117004334926605, 0.030937956646084785, -0.2321811467409134, -0.14671728014945984, -0.19740445911884308, -0.8854601383209229, 1.3798751831054688, 0.03386809304356575, 0.441614031791687, -0.012639324180781841, -0.5417281985282898, 0.24620580673217773, -0.369497150182724, -0.47841477394104...
Detailed Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at mos...
Eastern Idaho high school finds lead in water.
4
NIv2
task1368_healthfact_sentence_generation
fs_opt
[ 0.5709787011146545, 0.5445798635482788, 0.25885602831840515, -0.17312440276145935, 0.16517627239227295, -0.856840193271637, -0.14601866900920868, 1.1512866020202637, -0.690131664276123, -0.03389241546392441, -0.1883224993944168, 0.858013391494751, -0.22068850696086884, 0.24797707796096802,...
In this task, you will be presented with an English sentence, and you have to translate it into Arabic. Ex Input: What are you talking about? What the fuck are you talking about? Ex Output: ما الذي تتكلم عنه؟ Ex Input: The situation is exacerbated in the case of ad litem Judges, as they cannot be re-elected at all....
أنتبه لنفسك
1
NIv2
task651_opus100_en_ar_translation
fs_opt
[ -0.8768502473831177, 0.28076136112213135, -0.1990739107131958, 0.43484359979629517, -0.5927785634994507, 0.3410205841064453, 0.16842208802700043, 0.41442227363586426, 0.15528878569602966, -0.20777222514152527, -0.8138284683227539, 0.3813401758670807, -0.6106826663017273, 0.3022768199443817...
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct ...
D
3
NIv2
task229_arc_answer_generation_hard
fs_opt
[ -0.13270890712738037, 0.15994784235954285, -0.5719392895698547, -0.15211594104766846, -1.0116009712219238, -0.8100380897521973, 0.10612545907497406, 0.37485432624816895, -0.2591125965118408, -0.39290446043014526, -0.6475032567977905, -0.14304405450820923, 0.12740302085876465, -0.3989701271...
Instructions: A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with th...
489
3
NIv2
task090_equation_learner_algebra
zs_opt
[ 0.39019709825515747, 1.0355027914047241, -0.7501811385154724, -0.7072856426239014, -0.42628514766693115, -0.42110371589660645, 1.0384219884872437, 0.6850426197052002, -0.04205646365880966, -0.9345319271087646, -0.5692400932312012, 0.9122675061225891, -0.7987047433853149, 0.0772760808467865...
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the two sentences must be different in terms of trigger words (e.g., "sympathetic" ...
Sentence 1: PersonX liked to play adventure games. PersonY preferred brain games. _ didn't like having to think hard. Sentence 2: PersonX liked to play adventure games. PersonY preferred brain games. _ liked having to think hard.
3
NIv2
task030_winogrande_full_person
fs_opt
[ 0.5481212735176086, 0.26946309208869934, -0.06837725639343262, -0.2457330822944641, 0.34550023078918457, -0.557982325553894, 0.5452936291694641, 0.5764321088790894, -0.057246990501880646, -0.8088927865028381, -0.4240593910217285, -0.3553955554962158, -0.7379879355430603, 0.1061352640390396...
Definition: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words. Input: The RI Board of Electio...
elections
2
NIv2
task613_politifact_text_generation
zs_opt
[ 0.3579750061035156, 0.5082167387008667, -0.0007172783371061087, 0.43691718578338623, -0.4481206238269806, -0.3405549228191376, 0.11235705018043518, 0.11524863541126251, 0.11749155819416046, 0.02984854020178318, -0.8783281445503235, 0.16494931280612946, -0.07806704938411713, 0.4740926027297...
TASK DEFINITION: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas. PROBLEM: slow, shut, close, beside, out of service SOLUTION: beside PROBLEM: hot, classy, pretty, fine, probation SOLUTION: probation PROB...
spoon
8
NIv2
task142_odd-man-out_classification_no_category
fs_opt
[ 0.00369125884026289, 0.7388467788696289, 0.010152321308851242, -0.13758772611618042, 0.1145203709602356, 0.27141889929771423, 0.015388824045658112, 0.0813962072134018, 0.14143508672714233, 0.057238027453422546, -0.7744247913360596, -0.15368875861167908, -0.5529893636703491, 0.0885258615016...
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide...
Gina wanted to meet him, too so they hooked up at a bar downtown.
9
NIv2
task270_csrg_counterfactual_context_generation
fs_opt
[ 0.4472097158432007, 0.4293794631958008, 0.054962821304798126, 0.3985288143157959, 0.3218382000923157, -0.9409518837928772, 0.0741158276796341, 1.051975965499878, -0.10724911093711853, -0.26573386788368225, -0.5432750582695007, -0.19334766268730164, -0.5549987554550171, -0.07847292721271515...
You will be given a definition of a task first, then some input of the task. In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alte...
Willie and Amy made airplanes out of paper plates.
1
NIv2
task068_abductivenli_incorrect_answer_generation
zs_opt
[ 0.16127252578735352, 0.41992875933647156, 0.1218404695391655, -0.007486239075660706, -0.4198698103427887, 0.012862283736467361, 0.14756272733211517, 0.5842909216880798, 0.24417874217033386, -0.3969474732875824, -0.13464878499507904, 0.869695782661438, -0.20706602931022644, -0.0422352552413...
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible. ...
stopped by home and dropped of groceries ****
4
NIv2
task595_mocha_answer_generation
fs_opt
[ 0.1154526099562645, 0.9426007866859436, -0.24223574995994568, 0.2779558002948761, -0.24488848447799683, -0.06340055167675018, 0.9281764030456543, 0.38175255060195923, -0.1290382742881775, -0.06529060006141663, -0.6614547371864319, -0.005445642396807671, -0.636345624923706, 0.18812760710716...
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively. [EX Q]: Sentence 1: Its wooded shores, delightful islands, and beautiful setti...
yes
6
NIv2
task199_mnli_classification
fs_opt
[ -0.26223936676979065, 0.35589244961738586, 0.16853630542755127, -0.7997695207595825, -0.060235388576984406, -1.4401984214782715, 0.4065917134284973, 0.9221200942993164, -0.038186587393283844, 0.012438509613275528, 0.22357463836669922, -0.5865845680236816, -0.9883867502212524, -0.1297447681...
Given the task definition and input, reply with output. You are given a statement written in Tamil. 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: நிவித்திகலை இலங்கையின் <MASK> மாகாணத்தின் இரத்தி...
சபரகமுவா
5
NIv2
task953_wiki_cloze_ta_multiple_choice_question_answering
zs_opt
[ 0.40470072627067566, 1.1223974227905273, 0.7752728462219238, 0.21180285513401031, 0.06324830651283264, -0.5552978515625, -0.02015846222639084, 0.1370045393705368, 0.1437709480524063, 0.11724060773849487, 0.10771286487579346, 0.07421723008155823, -0.6262716054916382, 0.33472931385040283, ...
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to...
No
4
NIv2
task1197_atomic_classification_oreact
zs_opt
[ 0.23294076323509216, 0.13325998187065125, 0.38134893774986267, -0.2026323825120926, -0.4320937991142273, -1.2758750915527344, 1.1944684982299805, 0.2962392270565033, -0.6640454530715942, -0.3682079017162323, -0.16045472025871277, 0.05598461255431175, -0.7233319878578186, 0.4901704490184784...
In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb,...
Adj Conj Pron Prep N Adv Adj V Conj Adj N Prep Punc N N Punc Prep Art N V Punc
8
NIv2
task1543_conll2002_parts_of_speech_tagging_answer_generation
fs_opt
[ 0.37518778443336487, 0.31401747465133667, -0.2720445394515991, 0.12525755167007446, -0.3912408947944641, -0.4853673279285431, 0.2964153289794922, -0.2684484124183655, 0.361334890127182, -0.037867747247219086, -0.31305626034736633, 0.6976849436759949, -0.6896076798439026, 0.2549734115600586...
In this task, you will be given sentences in which your task is to recognize the name of the drug or medicine. Drugs are substances that change a person's mental or physical state. They can affect how your brain works, how you feel and behave, your understanding, and your senses. Although there might be several correct...
Solution: Gemcitabine
5
NIv2
task1447_drug_extraction_ade
fs_opt
[ 0.8073509335517883, 0.09328143298625946, -0.0204673670232296, -0.6917201280593872, -0.1862051784992218, -1.3077242374420166, 0.6381947994232178, 0.5648834705352783, 0.746946394443512, -0.5429561734199524, -0.9322437644004822, -0.3822926878929138, -0.6104727983474731, -0.30027058720588684, ...
In this task, you are given a tweet in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritation, or just to ...
sarcastic
4
NIv2
task1489_sarcasmdetection_tweet_classification
zs_opt
[ -0.667429506778717, 0.5343399047851562, 1.1323672533035278, 0.18255670368671417, 0.025862347334623337, -0.9069342613220215, 0.37467557191848755, 0.286024272441864, 0.12494649738073349, 0.3687373995780945, 0.06158998981118202, 0.0983574241399765, -0.002008599229156971, -0.35293328762054443,...
In this task, you will be presented with an English sentence, and you have to translate it into Arabic. [EX Q]: Know what's going inside them? [EX A]: أتعرف ماذا يحدث بداخلها ؟ [EX Q]: I've never seen anything like that. [EX A]: ما رأيت شيء مثل ذلك. [EX Q]: Affirmative, Dispatch. [EX A]:
تمت الإجابة,إرسال
6
NIv2
task651_opus100_en_ar_translation
fs_opt
[ -0.7452465295791626, -0.0812622606754303, -0.00676913745701313, -0.09971623122692108, -0.11299239099025726, 0.24768385291099548, 0.4136464595794678, -0.04986529052257538, 0.07783227413892746, 0.003741611260920763, -0.48010650277137756, -0.1531832367181778, -0.5301012396812439, 0.2471454739...
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 translating to Cr...
Rekli su, "Zašto mi nemamo te stvari?"
5
NIv2
task1365_opustedtalks_translation
fs_opt
[ -0.27369534969329834, 0.5230668783187866, -0.35891756415367126, 0.515329897403717, -0.04125630855560303, -0.8267188668251038, 0.5447832345962524, 0.011975515633821487, -0.18811717629432678, -0.47147440910339355, -0.07419111579656601, 0.29405608773231506, -0.45666369795799255, 0.15496775507...
Teacher: 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. Teacher: Now, understand the problem? If you are...
English
2
NIv2
task315_europarl_sv-en_language_identification
fs_opt
[ -0.06317579746246338, 0.451436847448349, 0.87890625, -0.43646326661109924, 0.34211966395378113, -0.6364376544952393, 0.3373071849346161, 0.43013519048690796, 0.7704342603683472, -0.16832412779331207, 0.2896653413772583, 0.5343722105026245, -0.30281609296798706, -0.3928494453430176, -0.16...
Given the task definition and input, reply with output. In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase. Article...
The information posted on the Internet _ .
5
NIv2
task649_race_blank_question_generation
zs_opt
[ -0.008599363267421722, 0.6247504353523254, -0.23000255227088928, -0.13224530220031738, -0.09287695586681366, -0.2995762228965759, 0.7956265211105347, 0.9672749042510986, 0.5057464838027954, 0.481305330991745, 0.2607901394367218, 0.8705615401268005, -0.4350759983062744, -0.34315919876098633...
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 fill in ...
The bartender cut PersonX off but continued to serve PersonY because _ was too drunk.
4
NIv2
task032_winogrande_question_generation_person
zs_opt
[ 0.4777717888355255, 0.9350265264511108, -0.12020960450172424, -0.30654698610305786, -0.08295082300901413, -0.18566961586475372, 0.7715485692024231, 0.45822086930274963, 0.48378297686576843, -0.6765722036361694, -0.08988361060619354, -0.16545537114143372, -0.556567370891571, 0.3069977164268...
Definition: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Yo...
[10]
2
NIv2
task098_conala_list_intersection
zs_opt
[ 0.24836385250091553, -0.214689239859581, -0.6859405636787415, -0.14237841963768005, 0.33375298976898193, 0.31275495886802673, 0.43611279129981995, 0.2167578637599945, 0.12715011835098267, 0.21015995740890503, -0.6905030608177185, -0.2676488757133484, -0.25279152393341064, 0.260743319988250...
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se...
E
3
NIv2
task534_farstail_entailment
fs_opt
[ -0.15146999061107635, -0.34169429540634155, -0.14030781388282776, 0.14052578806877136, 0.13866360485553741, 0.5013967752456665, 0.3587808609008789, 0.6293676495552063, 0.08674624562263489, -0.07530562579631805, -0.1729739010334015, 0.3678600490093231, -0.36387890577316284, -0.4309581220149...
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively. See one example below: Problem: Person1: Are ...
0
4
NIv2
task1536_daily_dialog_happiness_classification
fs_opt
[ 0.07760798931121826, -0.24768444895744324, 0.06404832005500793, -0.017336895689368248, 0.17911523580551147, -0.15560412406921387, 0.6932395696640015, 0.1994512677192688, 0.2602705955505371, 0.050481949001550674, -0.031132373958826065, -0.7392846345901489, -0.06914816796779633, 0.0403868183...
Instructions: 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'. Input: Dialogue 1: 'my house then what then i will make coffee n give u to drink'. Di...
yes
3
NIv2
task518_emo_different_dialogue_emotions
zs_opt
[ -0.6391044855117798, 0.15073561668395996, 0.2979411482810974, -0.33769094944000244, -0.11722312867641449, 0.16916052997112274, 0.9558579921722412, 0.05334465205669403, 0.17140869796276093, -0.2550307512283325, 0.38587212562561035, -0.7928826212882996, -0.5721622109413147, 0.143417626619339...
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...
Yes
1
NIv2
task1196_atomic_classification_oeffect
fs_opt
[ 0.4447035491466522, 0.25198060274124146, -0.1946583092212677, 0.2747534215450287, -0.42455869913101196, -1.2780976295471191, 0.7746551036834717, 0.5096223950386047, -0.3175755441188812, -0.14152705669403076, -0.4098547697067261, -0.23552563786506653, -0.924077033996582, 0.02877249941229820...
Instructions: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts. Input: Passage: John journeyed to the bedro...
Where is Mary?
3
NIv2
task082_babi_t1_single_supporting_fact_question_generation
zs_opt
[ 0.38682955503463745, 0.6870177984237671, -1.2196061611175537, -0.3009541928768158, -0.22863130271434784, -0.4921756982803345, 0.8391845226287842, 0.24677246809005737, 0.1691465675830841, -0.0012498956639319658, -0.27193742990493774, 0.12169452756643295, -0.2072121500968933, -0.180492311716...
Detailed Instructions: In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False" Q: ریچارد در سومین جنگ صلیبی شرکتی مؤثر داشت و یکی از سردار...
True
9
NIv2
task396_persianqa_classification
zs_opt
[ 0.1393560767173767, 0.3617199957370758, -0.07308502495288849, 0.17688395082950592, -0.6827996969223022, -0.17943300306797028, 0.6130074858665466, 0.8873069286346436, 0.30835428833961487, -0.03572332486510277, -0.9272266030311584, 0.8462400436401367, -0.808209240436554, 0.4696222245693207, ...
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese. Alcune cose non funzioneranno.
試した結果上手くいかないものもあります
0
NIv2
task1248_ted_translation_it_ja
zs_opt
[ 0.39189475774765015, 0.9835453033447266, -0.6161885261535645, 0.6666736602783203, 0.2639754116535187, -0.01593163050711155, 0.3367433547973633, 0.9520213007926941, -0.6262198090553284, -0.06387755274772644, -0.34721410274505615, -0.195247083902359, -0.1497666835784912, 0.15924011170864105,...
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 Italian. Your job is to translate the Italian sentence into Galician. Tra di esse, si annovera il piccolo sistema in arabo detto al-jebr. Solution: Isto inclúe un sistema...
E sinala a un flautista así.
0
NIv2
task1252_ted_translation_it_gl
fs_opt
[ -0.12600576877593994, 1.0047144889831543, -0.5398890972137451, 0.488974392414093, -0.3446512222290039, -0.43623459339141846, 1.022843599319458, 0.7055655717849731, -1.0521032810211182, -0.37751394510269165, -0.27946269512176514, 0.10828554630279541, -0.46471551060676575, 0.5992745161056519...
Given a sentence in Korean, provide an equivalent paraphrased version from the original that retains the same meaning. Ex Input: 1956 년 여름, 마이크 바넷 (Mike Barnett)은이 시리즈가 끝나기까지 프랭크 러브 조이 (Frank Lovejoy)의 역할을 이어 받았다. Ex Output: 1956 년 여름, Mike Barnett는 같은 해에 시리즈가 끝날 때까지 Frank Lovejoy의 역할을 이어 받았다. Ex Input: 미네랄 힐즈 마을과 ...
Turing은 형인 John Dermot Turing (Turing 남작의 제 12 남작 대위 인 John 각하의 아버지)이있었습니다.
1
NIv2
task771_pawsx_korean_text_modification
fs_opt
[ -0.32892459630966187, 0.6625545024871826, -1.0615503787994385, 0.013862055726349354, -0.36029332876205444, -0.6091686487197876, 0.13001060485839844, -0.10485997051000595, -0.5586740970611572, 0.0014741977211087942, -0.3040100336074829, 0.57806396484375, -0.8078597784042358, 0.0913056805729...
Detailed Instructions: An answer is given. Generate a question for which the given answer is either a direct or partial answer. See one example below: Problem: Answer: victoria woodhull Solution: who was the first women to run for presidency in the us? Explanation: The given answer directly answers the generated questi...
who were the first team to win at emirates and last to win at highbury?
4
NIv2
task443_com_qa_ans_question_generation
fs_opt
[ 0.2413276880979538, 0.32543182373046875, -0.7645179033279419, 0.0357317216694355, 0.18382760882377625, -1.2187678813934326, 0.5734921097755432, 0.4852451682090759, 1.3729562759399414, -0.0661880373954773, 0.1852257251739502, 0.001762663945555687, -0.6656806468963623, -0.044455502182245255,...
Given the task definition, example input & output, solve the new input case. In this task, you are given an answer, and your task is to generate a reasonable question for that answer. Example: My stomach will be upset if i eat that. Output: Do you like pineapple on your pizza? The answer given was regarding something t...
Would you like to go the pub sometime?
1
NIv2
task568_circa_question_generation
fs_opt
[ -0.1909211277961731, 0.3819473087787628, 0.10482662916183472, 0.5179804563522339, 0.281830757856369, 0.17901521921157837, 0.25234919786453247, 0.8371214270591736, 0.4015737771987915, -0.0688481479883194, -0.3484789729118347, -0.5014921426773071, -0.3191080689430237, -0.09895637631416321, ...
Part 1. Definition In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it s...
Non-hateful
7
NIv2
task334_hateeval_classification_hate_es
fs_opt
[ -0.44103941321372986, 0.05538421869277954, 0.4190981984138489, 0.7245485186576843, -0.3468078374862671, -1.0029714107513428, 0.22346407175064087, 1.5063846111297607, 0.6263651251792908, 0.06257134675979614, -0.46707603335380554, 0.21555063128471375, -0.343340665102005, -0.7101202011108398,...
Q: In this task, you need to reverse the order of words in the given sentence. Sentence: an elaborate bedroom and office is seen in a photo A:
photo a in seen is office and bedroom elaborate an
7
NIv2
task376_reverse_order_of_words
zs_opt
[ 0.4420856237411499, 0.9924414753913879, -0.5989733934402466, -0.6615409255027771, -0.10364484786987305, 0.23171252012252808, 0.2481713593006134, 0.07199112325906754, 0.5477144718170166, -0.5168457627296448, -0.4226813316345215, -0.10893253982067108, 0.30677565932273865, 0.15829698741436005...
Detailed Instructions: In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-lev...
finding
9
NIv2
task1163_coda19_section_classification
zs_opt
[ -0.4239100217819214, 0.7109659910202026, 0.13531871140003204, -0.5581967830657959, 0.22943145036697388, 0.13737061619758606, 0.34266358613967896, 0.26501646637916565, 0.16621392965316772, -0.1239423006772995, -0.6120595932006836, 0.34497642517089844, -0.02782031148672104, 0.404338479042053...
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'. Q: Person1: Are you there , Mary ? Person2: I'm back . My bid on the Buddha is still the highest ! Person1: ...
1
4
NIv2
task1534_daily_dialog_question_classification
zs_opt
[ 0.17121639847755432, 0.45304161310195923, -0.4222274422645569, -0.12865056097507477, -0.35066425800323486, -0.6235396862030029, 0.8842698335647583, 0.30284103751182556, 0.5373924970626831, -0.08628383278846741, -0.3452736437320709, -0.2000395655632019, -0.381926953792572, 0.121349632740020...
In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes). Q: Context: The Saint Vincent and the Grenadines Football Federation (SVGFF) is the governing body...
kingstown
4
NIv2
task1296_wiki_hop_question_answering
zs_opt
[ 0.6205826997756958, 0.28405147790908813, -0.4805269241333008, -0.5379301309585571, 0.2234470248222351, -0.5919524431228638, -0.2142232209444046, -0.166549414396286, -0.17392894625663757, -0.07524634152650833, 0.25762540102005005, 0.3673011064529419, -1.0306127071380615, 0.4555070400238037,...
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is. One example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。 Solution is here: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່...
3ຄົນທີ່ເຄີຍຖືກເຊື່ອໝັ້ນກ່ອນໜ້ານີ້ແມ່ນຖືກປັບໄໝ15,000ໂດລາ ຕໍ່ຄົນ ແລະຕ້ອງຈ່າຍພາຍໃນ100ມື້.
6
NIv2
task1124_alt_ja_lo_translation
fs_opt
[ -0.6419185400009155, 0.5077954530715942, -0.6396851539611816, 0.11728953570127487, -0.282706618309021, -0.20624326169490814, 0.6255184412002563, 0.5087707042694092, -0.007455472834408283, -0.8431037068367004, -1.119051218032837, 1.1649302244186401, -0.7085621356964111, 0.961829662322998, ...
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible. Example Input: ماری‌جوآنا که در فرهنگ عامه با نام‌های گراس، علف و گُل نیز شناخته می‌شود، یک داروی فعال‌کننده روان است که از آن برای اهداف تفریحی یا درمانی بهره می‌...
نشانه‌هایی (آیات) برای خدا می‌شمارد
3
NIv2
task395_persianqa_answer_generation
fs_opt
[ 0.8259882926940918, 0.8152953386306763, -0.9118281602859497, 0.5737565159797668, 0.11616326868534088, -0.272261381149292, 0.6832197904586792, 0.7789039611816406, -0.07095183432102203, 0.5442584753036499, -0.8865855932235718, 0.9708288908004761, -0.8466700911521912, 0.5904698371887207, -0...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you 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 "...
No
0
NIv2
task437_alt_en_ja_answer_generation
fs_opt
[ 0.28438621759414673, -0.17964966595172882, 0.05358503386378288, 0.40106678009033203, 0.21488361060619354, -0.4692395329475403, 0.23755809664726257, 0.2493140697479248, -0.29231834411621094, -0.3622250556945801, 0.5206053853034973, 0.6798156499862671, -0.46898722648620605, 0.628012418746948...
Detailed Instructions: You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about ...
Entity
8
NIv2
task1289_trec_classification
zs_opt
[ 0.03591606393456459, -0.36240264773368835, 0.06789438426494598, -0.26512157917022705, -0.4306694269180298, -0.7588174939155579, 0.7399551272392273, 0.004390798043459654, -0.1254424750804901, -0.09287498146295547, -1.052780032157898, -0.10970370471477509, -0.8486438989639282, -0.03491533547...
Teacher:You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation. Teacher: Now, understand the ...
several feet deep in water?
6
NIv2
task178_quartz_question_answering
zs_opt
[ -0.6086974143981934, 0.11638015508651733, -0.41226181387901306, 0.07577157020568848, -0.16973146796226501, -0.3777070641517639, 0.6212093830108643, 0.12282148748636246, -0.2909187078475952, -0.265078067779541, 0.21735283732414246, -0.18496489524841309, -0.5292966961860657, -0.3555532097816...
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 English, and your task is to translate it into Persian. and Florentino Ariza' s, recorded in the parish church of St Tiburtius, said only that he was the natural s on of an unwed natural daughter call...
در کلیسای توریبیوی مقدس صادر شده و در آن آمده بود که او فرزند نامشروع زنی است بدون شوهر به نام ترانزیتو آریثا که به نوبه‌خود نامشروع است.
1
NIv2
task661_mizan_en_fa_translation
zs_opt
[ -0.021471228450536728, 0.9970694780349731, -0.6083364486694336, 0.37142911553382874, -0.7937208414077759, 0.8136907815933228, 0.3384907841682434, 0.380071759223938, 0.6026257276535034, 0.49727535247802734, -0.25335198640823364, 0.4306001365184784, -0.46758872270584106, 0.5728727579116821, ...
Given the task definition, example input & output, solve the new input case. You are given a sentence in English. Your job is to translate the English sentence into Italian. Example: Why? Because that profit allows whatever solution we've created to be infinitely scalable. Output: Perché? Perché quel profitto fa sì che...
Allo stesso modo in cui non si riesce a vedere al centro del Sole, si devono utilizzare altre tecniche per capire che cosa succede dentro il Sole.
1
NIv2
task1091_ted_translation_en_it
fs_opt
[ -0.5273953676223755, 0.9051399230957031, 0.13785868883132935, 0.041581880301237106, -0.21868036687374115, -0.3376096487045288, -0.010821297764778137, 1.0653471946716309, 0.4077826142311096, -0.04456952214241028, 0.03921849653124809, 0.6378467679023743, -0.45566028356552124, -0.031332202255...
Definition: In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase. Input: Article: IN China, red is known to be a lucky...
The article is mainly about _ .
2
NIv2
task649_race_blank_question_generation
zs_opt
[ -0.04746676981449127, 0.6090282201766968, -0.5343365669250488, -0.40266817808151245, 0.1622934639453888, -0.018847975879907608, 0.5761250257492065, 0.29570436477661133, -0.00794023834168911, -0.40865612030029297, -0.9752684831619263, 0.8449784517288208, -0.18832740187644958, 0.463370800018...
Teacher: You are given a statement written in Telugu. 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 . Teacher: Now, understand the problem? If you are still confused, see the following example: Statement: ఇది...
ములకలచెరువు
2
NIv2
task954_wiki_cloze_te_multiple_choice_question_answering
fs_opt
[ 0.667601466178894, 0.6565326452255249, -0.0020237229764461517, -0.5679849982261658, 0.258510947227478, -1.0873749256134033, 0.15272817015647888, 1.3285822868347168, -0.28839486837387085, -0.03885873407125473, -0.320600688457489, 0.04943547025322914, -0.3965168297290802, -0.8387990593910217...
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to c...
There are other boys jumping with him.
0
NIv2
task185_snli_contradiction_to_neutral_text_modification
zs_opt
[ -0.7901911735534668, 1.3109703063964844, 0.3251253366470337, -0.7518450021743774, 0.0776946172118187, -0.5202156901359558, 0.0037743966095149517, 1.096213459968567, 0.114090695977211, -0.4299403727054596, -0.8980329632759094, -0.6073796153068542, -0.7124895453453064, 0.11737029254436493, ...
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...
UH ****
4
NIv2
task584_udeps_eng_fine_pos_tagging
fs_opt
[ 0.18264059722423553, 0.21347762644290924, -0.09353671222925186, 0.5980241298675537, 0.02304917201399803, -0.7210249900817871, 0.7590323090553284, 1.007448434829712, -0.683491587638855, -0.3322641849517822, -0.1817297786474228, 0.22577139735221863, -0.2744753956794739, 0.12290351837873459, ...
The task is about reading the given story and question, then finding an answer to the given question. Based on the passage provided and the given question, 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 ...
In his family tomb at Córdoba.
0
NIv2
task918_coqa_answer_generation
zs_opt
[ 0.9811064004898071, 0.6118249297142029, 0.4611108899116516, -0.6924983263015747, -0.6184357404708862, 0.23136788606643677, 0.4413670301437378, 0.033617548644542694, 0.31443434953689575, 0.2806335389614105, -0.5143179893493652, 0.4374403953552246, -0.8781576156616211, 0.3024504482746124, ...
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence. [EX Q]: आप इसके लिए cashless पेमेंट भी कर सकते हैं। [EX A]: in પરથી પણ મેળવી શકો છો. [EX Q]: ईरान के राष्ट्रपति के भारत आगमन के दौरान 17 फरवरी, 2018 को...
તેમણે શ્રી પદ્મનાભ સ્વામી મંદિરે દર્શન અને પ્રાર્થના કરી હતી.
6
NIv2
task1034_pib_translation_hindi_gujarati
fs_opt
[ -0.36776259541511536, 0.6606928110122681, -0.1969187706708908, -0.2663503885269165, 0.2142857313156128, -0.6791893243789673, 0.5349032282829285, 0.36297041177749634, -0.11522093415260315, -0.06041662395000458, 0.005414722952991724, 0.06743468344211578, -0.21719999611377716, 0.2421597093343...
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...
$
5
NIv2
task584_udeps_eng_fine_pos_tagging
fs_opt
[ 0.05401090532541275, 0.29275646805763245, -0.009608618915081024, 0.3382423222064972, 0.007891395129263401, -0.34672361612319946, 0.8786011934280396, 1.067628264427185, -0.5020314455032349, -0.1870429515838623, -0.24732208251953125, 0.1383187174797058, -0.30744415521621704, -0.0074518332257...
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". One example is below. Q: Sentence-1: I'm looking forward to it.<sep>Sentence-2: I did hear about the event next week . A: Yes Rationale: We need to check if the ...
No
9
NIv2
task566_circa_classification
fs_opt
[ -0.2067391276359558, -0.04552459716796875, -0.2647453546524048, -0.05683597922325134, -0.08792249858379364, -0.6860957145690918, 0.4844486713409424, 0.6054565906524658, 0.1596936136484146, 0.03661596029996872, -0.45384180545806885, -0.06281394511461258, -0.5080469250679016, -0.095342770218...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect). रोजगार कार्यालय जाओ. Solution: Go...
Some shine and some don't.
0
NIv2
task1323_open_subtitles_hi_en_translation
fs_opt
[ -0.5882443189620972, 0.533191442489624, 0.19892527163028717, 0.37009796500205994, 0.17738159000873566, -0.7640500664710999, -0.011148139834403992, 0.37298208475112915, 0.17943429946899414, -0.2085193693637848, 0.18065254390239716, -0.31620919704437256, 0.05147714912891388, 0.32783284783363...
Detailed Instructions: 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...
Yes
8
NIv2
task1198_atomic_classification_owant
zs_opt
[ 0.05155728757381439, 0.6882015466690063, 0.3977658152580261, -0.08179101347923279, -0.38870739936828613, -0.5027450919151306, 0.814332902431488, 0.09260529279708862, -0.904542088508606, -0.37284907698631287, -0.33115094900131226, -0.5234852433204651, -0.5982181429862976, 0.0573518201708793...
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command....
Solution: I_TURN_RIGHT I_JUMP
5
NIv2
task126_scan_structured_text_generation_command_action_all
fs_opt
[ 0.16312579810619354, 0.6006196141242981, -0.34310126304626465, -0.13802817463874817, 0.07502925395965576, -0.02823694422841072, 0.38537681102752686, 0.10411427915096283, -0.1717585325241089, -0.471914142370224, -0.8697890043258667, -0.28454089164733887, -0.8224092125892639, -0.162932813167...
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew. Teacher: Now, understand the problem? Solve this instance: Así que llelo dixen aos enfermeiros. Student:
אז סיפרתי לאחיות.
6
NIv2
task1242_ted_translation_gl_he
zs_opt
[ -0.6588109731674194, 0.8899468183517456, 0.2850993871688843, -1.0781012773513794, -0.4143028259277344, -0.48599952459335327, -0.05177611857652664, 0.6948462724685669, 0.28852570056915283, -0.34867650270462036, -0.2605881690979004, 0.16787806153297424, -0.8784903883934021, -0.68436050415039...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you are given a sentence in Persian, and your task is to translate it into English. جناب گرانت خیلی دلش می‌خواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد. Soluti...
one folding her shawl, another smoothing out the strings of her bonnet,
0
NIv2
task660_mizan_fa_en_translation
fs_opt
[ -0.7251484990119934, 0.4345135986804962, -0.18377496302127838, -0.13326072692871094, -0.5369322896003723, -0.4486994445323944, 0.9354021549224854, 0.28880101442337036, 0.13272404670715332, -0.3838454782962799, -0.47023364901542664, 0.3869876265525818, -0.4947519302368164, 0.673558354377746...
Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False". Q: While full-time work hinders schooling, empirical evidence is varied on the rela...
True ****
4
NIv2
task1640_aqa1.0_answerable_unanswerable_question_classification
fs_opt
[ -0.12984958291053772, 0.2752445340156555, -0.010596984066069126, -0.3991814851760864, -0.00033073127269744873, -0.2119886577129364, 0.33892133831977844, 1.0368382930755615, 0.25409752130508423, 0.27968722581863403, 0.20287060737609863, 0.36035341024398804, -0.3334715962409973, -0.003285453...
In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places. Let me give you an example: [1,3,5] The answer ...
130.861
8
NIv2
task094_conala_calculate_mean
fs_opt
[ 0.09749969094991684, -0.004071899689733982, -1.185269832611084, -1.0419166088104248, 0.4040752649307251, 0.1900419294834137, 0.8684979677200317, 0.22133181989192963, 0.007596309762448072, -0.07431142032146454, -1.330024003982544, 0.528351902961731, -0.5615673661231995, 0.04177463799715042,...
In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is correct, otherwise 'Optio...
Option 1
9
NIv2
task065_timetravel_consistent_sentence_classification
fs_opt
[ -0.1886812299489975, 0.002000971930101514, -0.36713021993637085, 0.2884221076965332, 0.30969759821891785, 0.13707751035690308, -0.04950830340385437, 1.3866826295852661, 0.09320644289255142, -0.0701378583908081, -0.2962183356285095, -0.8819663524627686, -0.0797552540898323, -1.0256315469741...
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English. PROBLEM: הגנום שלכם הוא כל רצף ה DNA שלכם. SOLUTION: Your genome is the entire sequence of your DNA. PROBLEM: זה היה רעיון גדול, כמובן, וזה היה רעיון שהוא הרגיש שיידע וישפיע עמוקות על החלטות הגוף הזה דרך אנ...
And it's full of many little trivial end points, like there's a little foot here that just drags around in circles and it doesn't really mean anything.
8
NIv2
task1234_ted_translation_he_en
fs_opt
[ -0.6972870826721191, -0.1218458041548729, 0.42183634638786316, -0.16478323936462402, -0.8239909410476685, -0.5579450130462646, 0.5796133875846863, -0.10570777952671051, 0.31720370054244995, -0.18428266048431396, -0.3820047974586487, 0.6180822253227234, -1.1657259464263916, 0.36113950610160...
In this task, you are given a sentence in English, and your task is to translate it into Persian. Let me give you an example: not just the words . and thats where a great film editor can help a director . The answer to this example can be: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه . Here is why: This...
و نوع انسانيت را تا لبهء انقراض كشيد .
8
NIv2
task658_tep_en_fa_translation
fs_opt
[ -1.165351390838623, 0.5797363519668579, -0.416681706905365, -0.11090340465307236, -0.6099410653114319, -0.1107981950044632, 0.6623340845108032, 0.1203380674123764, 0.07481856644153595, -0.2755568325519562, -0.268865168094635, -0.4284383952617645, -0.36198097467422485, 0.38540059328079224, ...
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 Portugese. ستاره ‌ ها بصورت روزانه. من همیشه فکر می ‌ کنم که این شگفت ‌ انگیزه. Output:
As estrelas, de dia. Acho, sempre, que isso é fascinante.
1
NIv2
task1273_ted_translation_fa_pt
zs_opt
[ -0.942007303237915, 0.8322238922119141, -0.2642873525619507, 0.061104562133550644, -0.7459653615951538, -0.4648437798023224, 0.6160213947296143, 0.7495260238647461, 0.7409048676490784, 0.09114864468574524, -0.9015191197395325, -0.12412111461162567, -0.017950601875782013, 0.3874416351318359...
Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that the concept and relatum b...
event
3
NIv2
task1418_bless_semantic_relation_classification
fs_opt
[ 0.15119808912277222, 0.37931904196739197, 0.2925361096858978, 0.06977245211601257, -0.37476304173469543, -0.005427105817943811, -0.19041763246059418, 0.6142134666442871, 0.06827561557292938, -0.8413131237030029, -0.6418417096138, 0.32715776562690735, -0.6965656876564026, 0.0301998108625412...
Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. Input: Para peneliti Universitas Calgary di Kanada menemukan prolactin, sebuah hormon yang diproduksi selama hamil...
今週発売されるニューロサイエンス・ジャーナルの論文によるとカナダのカルガリー大学の研究者たちは、プロラクチンという妊娠中に生成されるホルモンが、多発性硬化症(MS)の進行を逆行させるかもしれないことを発見した。
3
NIv2
task1116_alt_id_ja_translation
zs_opt
[ -0.4162175953388214, 0.38169044256210327, -0.2092752754688263, -0.32143545150756836, -0.19007959961891174, -0.027736421674489975, 0.20972996950149536, 0.36576390266418457, 0.7017287015914917, -0.6688976287841797, -1.4704596996307373, -0.04544145613908768, -1.0875531435012817, 0.34149390459...
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative. Fact1: nomad ta...
In 2013, an unnamed nomad enters the Oregon flatlands, trading Shakespearean performances for food and water. In one of the towns, the nomad is forced into the ranks of the predominant militia, known as the Holnists and run by General Bethlehem. When he escapes, the nomad takes refuge in a dead postmans mail vehicle. W...
0
NIv2
task103_facts2story_long_text_generation
zs_opt
[ 0.10187995433807373, 0.0922536700963974, 0.17790889739990234, -0.22141462564468384, -0.57781982421875, -0.7274088263511658, -0.2997133135795593, 0.4305737018585205, 0.27505192160606384, -0.3587484061717987, -0.9157682657241821, 0.04546235874295235, -0.6741880178451538, 0.5253027081489563, ...
Definition: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining. Input: claim: Parents or other adults should be abl...
undermine
2
NIv2
task738_perspectrum_classification
zs_opt
[ 0.19826024770736694, 0.6722139716148376, 0.31937944889068604, -0.4133731424808502, -0.10322675108909607, 0.13627442717552185, 0.9958277940750122, 0.31410616636276245, 0.7731010913848877, -0.2417077273130417, -0.3044423758983612, -0.13457763195037842, -1.2421588897705078, -0.164371669292449...
Teacher: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story. Teacher: Now, understand the problem? If you are still confused, see the following example: Title: Marcus ...
The book won several awards.
2
NIv2
task216_rocstories_correct_answer_generation
fs_opt
[ -0.22123503684997559, 0.5337105989456177, 0.23072898387908936, -0.4325559139251709, 0.2150460034608841, 0.09480105340480804, 0.48978090286254883, 0.5717577934265137, 0.2028285562992096, 0.25744661688804626, -0.6278200149536133, -0.17840954661369324, -0.578831672668457, 0.0942532867193222, ...
In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences in order...
23
4
NIv2
task218_rocstories_swap_order_answer_generation
zs_opt
[ -0.33539843559265137, 0.6086596250534058, 0.1621469259262085, -0.2721658945083618, 0.13934758305549622, 0.4232562482357025, 0.6814000606536865, 0.3872951865196228, -0.3622380495071411, 0.0887279063463211, -0.3600916862487793, -0.4395970106124878, -1.2338424921035767, 0.020760059356689453, ...
TASK DEFINITION: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, ...
Punc Art N N V Prep Adv Prep N N Punc
8
NIv2
task1543_conll2002_parts_of_speech_tagging_answer_generation
fs_opt
[ -0.4955560564994812, 0.7909766435623169, 0.10208271443843842, 0.08798061311244965, -0.17133523523807526, 0.38140803575515747, 0.4068130850791931, 0.19491687417030334, 0.32957831025123596, -0.3578172028064728, -0.3010742664337158, 0.3739114999771118, -0.748292088508606, 0.5177266001701355, ...
Definition: 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). Input: Se dará prioridad a las reformas a largo plazo que abarquen la financiación de la asistencia...
The emphasis will be on long-term reforms covering health financing as well as training and procurement.
2
NIv2
task531_europarl_es_en_translation
zs_opt
[ -0.5266425609588623, 0.5411912798881531, 0.1993040293455124, -0.37609612941741943, 0.07448813319206238, -0.11074598133563995, 0.8057805299758911, 0.7834042906761169, 0.05131389945745468, -0.17116795480251312, -0.10810337215662003, 0.16435007750988007, -0.6981420516967773, 0.416308134794235...
In this task, you are given an input list A. You need to find all the elements of the list that are alphabets in the same order as they appear in the list A. Do not change their case/capitalization. [EX Q]: ['H', '1359', 'L', 'g', '1625', 'R', 'z', 'Y', '9547', 'z', 'k', 'u', '8391', '6219', '9825', 'N', 'y', '4793', ...
T, j, Y, R, m, X, J, Z, h, E, J, L, V, M, K, L, i
6
NIv2
task488_extract_all_alphabetical_elements_from_list_in_order
fs_opt
[ -0.29725342988967896, 0.2885203957557678, -0.1952362209558487, -0.15783149003982544, -0.013743793591856956, -0.23737847805023193, 0.5432311296463013, 0.05704529583454132, -0.401246577501297, 0.16558481752872467, -0.5592226982116699, -0.332851380109787, 0.06679806858301163, 0.08681622147560...
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as...
Non-hateful
6
NIv2
task333_hateeval_classification_hate_en
fs_opt
[ 0.015097226947546005, -0.14197945594787598, 0.47701090574264526, 0.21052679419517517, -0.26380154490470886, -0.8789804577827454, 0.4488374590873718, 0.9254699945449829, 0.4103367328643799, 0.8377922773361206, -0.17071017622947693, 0.7344353795051575, -0.6593584418296814, -0.672406077384948...
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time. Example: A herd of sheep standing together grazing in a...
Solution: English
5
NIv2
task441_eng_guj_parallel_corpus_gu-en_language_identification
fs_opt
[ -0.4023791551589966, 0.4602389335632324, 0.4710513651371002, -0.36685192584991455, 0.02982642501592636, -0.8058612942695618, -0.03796221315860748, 0.02574191614985466, -0.09553900361061096, -0.6696134805679321, -0.6430895924568176, -0.04394298791885376, -0.3139330744743347, -0.465779095888...