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Instructions: In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing wor...
Her boyfriend could not remember his moms recipe until after the chili was done.
3
NIv2
task068_abductivenli_incorrect_answer_generation
zs_opt
[ 0.1035488024353981, 0.057607389986515045, 0.19207677245140076, 0.46376726031303406, -0.0416891984641552, -0.001464072265662253, -0.18157240748405457, 0.9208527207374573, -0.5495471954345703, -0.7190009951591492, -0.4890648126602173, 0.4194841980934143, -0.03697774186730385, -0.144999504089...
Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No". ...
No
9
NIv2
task496_semeval_answer_generation
fs_opt
[ -0.6074945330619812, 0.48870378732681274, 0.4962165057659149, -0.07598891109228134, -0.5850739479064941, -0.8963260650634766, -0.007072506006807089, 0.6227225065231323, -0.07579512894153595, -0.15357017517089844, -0.3202055096626282, -0.14098608493804932, -0.7271500825881958, 0.21991422772...
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" base...
Original
4
NIv2
task516_senteval_conjoints_inversion
zs_opt
[ -0.6825821995735168, 0.9947292804718018, 0.4719855785369873, -0.29174384474754333, 0.07674142718315125, -0.7275534868240356, 0.5204383730888367, 0.6617650985717773, 0.04881414771080017, -0.12039566785097122, -0.766201376914978, -0.29150134325027466, -0.9353513717651367, -0.3198083341121673...
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 user's questions or follo...
agent
3
NIv2
task1599_smcalflow_classification
fs_opt
[ -0.009244341403245926, 0.17770667374134064, -0.44432520866394043, 0.22268089652061462, -0.07757095247507095, -0.5872756242752075, 0.31348809599876404, -0.3772234320640564, -0.018252607434988022, 0.00003358989488333464, -0.2087630331516266, -0.32823336124420166, -0.7768405675888062, 0.44830...
Instructions: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'. Input: Problem: the cost price of an article is 55 % of the marked price . calculate the gain percent after allowing a ...
c
3
NIv2
task1419_mathqa_gain
zs_opt
[ -0.050082772970199585, 0.707240879535675, -0.14705997705459595, 0.12749934196472168, -0.3405853509902954, -0.013930675573647022, 0.8344317674636841, 1.0075972080230713, 0.32215040922164917, 0.04799864441156387, -0.9536224007606506, 0.11067119985818863, -0.9791738986968994, 0.14895468950271...
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence. What type i mean What does Warsaw host many of? What does Warsaw host many of? When did the no in what year did the Black Death originate in Central Asia? In what year did the Black Death origi...
Who is the vice-chair of the IPCC?
0
NIv2
task1195_disflqa_disfluent_to_fluent_conversion
fs_opt
[ 0.4917563199996948, 0.7480596899986267, -0.2827887237071991, 0.17083430290222168, -0.1860654503107071, -0.08460234105587006, 0.7276993989944458, 0.5756005644798279, 0.15484373271465302, 0.5307192802429199, 0.1711358278989792, 0.14671224355697632, -1.0861037969589233, 0.5169589519500732, ...
Detailed Instructions: Given a math problem with context and a question and 5 answer choices, the task is to provide the correct answer choice based on the problem. You must choose one of the given answer choices by letter: a, b, c, d, or e; anything else is invalid. Q: Problem: how many numbers between 400 and 1000 ca...
b
9
NIv2
task1678_mathqa_answer_selection
zs_opt
[ 0.2348271906375885, 0.10115904361009598, -0.5093271732330322, -0.07119597494602203, -0.3883161246776581, -0.4110068678855896, 0.7171367406845093, 0.18814490735530853, -0.3028374910354614, 0.42489612102508545, -0.40865588188171387, 0.7231022119522095, 0.1097792536020279, -0.4388944506645202...
Part 1. Definition In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story. Part 2. Example Sentence1: My dog was bored. Sentence2: I was working all day so I couldn't spend time with him. Sentence3: When I finished work I d...
Bob, Boss
7
NIv2
task292_storycommonsense_character_text_generation
fs_opt
[ 0.2703593671321869, -0.04284616932272911, -0.3257317543029785, -0.18664497137069702, 0.24461454153060913, -0.606454610824585, 0.45715051889419556, 0.4956633448600769, 0.35610198974609375, -0.39783579111099243, -0.5753820538520813, -0.2050609588623047, -0.2866894006729126, -0.25507092475891...
TASK DEFINITION: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence. PROBLEM: साथियों, कल, यानी 22 अक्तूबर को Rani Jhansi Regiment के भी 75 वर्ष पूरे हो रहे हैं। SOLUTION: मित्रांनो, उद्या, म्हणजे 22 ऑक्टोबर ...
ही योग्यच बाब होती.
8
NIv2
task1081_pib_translation_hindi_marathi
fs_opt
[ 0.8154932856559753, 0.4098888635635376, -0.06908442080020905, 0.1918211132287979, -0.5177570581436157, -0.526017427444458, 0.7779301404953003, 0.668305516242981, -0.4218396544456482, -0.17237058281898499, -0.8186912536621094, -0.3427577018737793, -0.2496977150440216, 0.6057356595993042, ...
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. Ex Input: Context: Chronic inflammation in periodontal disease is associated with increased plasminogen activation and elevated levels of chemokine...
Severe acidosis alone is not a sufficiently powerful predictor of outcome to justify withholding resuscitation; however, when combined with coma and shock, this condition had no survivors in this small series.
1
NIv2
task849_pubmedqa_answer_generation
fs_opt
[ 0.7714263200759888, 0.23791584372520447, -0.5425547957420349, -0.023163307458162308, 0.24231624603271484, -0.5166120529174805, 0.40606096386909485, 1.0389618873596191, 0.3062880039215088, 0.3222419023513794, -0.6786918640136719, 0.58149254322052, -0.5147472023963928, 0.28130343556404114, ...
Detailed Instructions: In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'. Q: Sentence 1:...
1
9
NIv2
task1344_glue_entailment_classification
zs_opt
[ 0.3773636817932129, 0.379879891872406, -0.2967347502708435, -0.10630171000957489, -0.13163729012012482, -0.0018629441037774086, 0.16956886649131775, 0.5102869272232056, 0.06804527342319489, 0.39449557662010193, -0.3760814368724823, -0.3787693977355957, -0.6795967221260071, -0.0337238982319...
Given the task definition and input, reply with output. 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)....
Yes
5
NIv2
task1199_atomic_classification_xattr
zs_opt
[ 0.1869415044784546, 0.1599930077791214, 0.5515987277030945, 0.2378610372543335, -0.3262200951576233, -0.6009429097175598, 0.8082236051559448, 0.9489227533340454, -0.8846213221549988, -0.2565286159515381, -0.4148249626159668, -0.5251325368881226, -0.8119298219680786, -0.03187192603945732, ...
Q: You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change a...
PersonX didn't work hard at sales during the holiday season but PersonY did so _ received a hefty bonus.
7
NIv2
task035_winogrande_question_modification_person
zs_opt
[ 0.5212082266807556, 0.5222232341766357, -0.35178565979003906, -0.15019303560256958, 0.48509860038757324, -1.1086816787719727, 1.670866847038269, 0.8040429353713989, -0.2519564628601074, -0.43817222118377686, 0.07406020909547806, 0.28118836879730225, -0.9021142721176147, 0.44370338320732117...
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill. Example input: SECTION 1. LIABILITY OF BUSINESS ENTITIES PROVIDING USE OF FACILITIES TO NONPROFIT ORGANIZATIONS. (a) Definitions.--In this section: (1) Business entity.--The term ``b...
Possessions Wage Credit Act of 1993 - Amends the Internal Revenue Code to allow a possessions employment credit for wages paid or incurred by an employer for services performed by an employee within a possession of the United States, if such employee is a bona fide resident of such possession and is subject to its tax ...
3
NIv2
task1658_billsum_summarization
fs_opt
[ 0.5864412784576416, 0.20276513695716858, 0.01262714620679617, -0.014343349263072014, 0.42490214109420776, -0.4527459740638733, 0.7952834963798523, 1.2353391647338867, -0.48822107911109924, -0.10498283803462982, -0.4243645966053009, 0.5576397180557251, 0.14778786897659302, -0.23614290356636...
Instructions: Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable...
Rất có thể bạn sẽ thốt lên những lời trong một cuốn sách.
3
NIv2
task411_mickey_vi_sentence_perturbation_generation
zs_opt
[ 0.0379403680562973, 0.09047367423772812, 0.0099572679027915, -0.30075764656066895, 0.12972158193588257, -0.5812368988990784, 0.49821221828460693, 1.2845231294631958, 0.09277653694152832, 0.16310200095176697, -1.0139625072479248, -0.16758155822753906, -0.5092134475708008, 0.0166094675660133...
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ...
span
7
NIv2
task027_drop_answer_type_generation
fs_opt
[ 0.7520501613616943, 0.01863233558833599, -0.830906867980957, 0.0548396110534668, 0.5800615549087524, 0.30563637614250183, 0.7892472147941589, 1.3750711679458618, 0.047317758202552795, -0.0761946514248848, -0.5549534559249878, 0.43738216161727905, -0.5745640397071838, -0.6514816284179688, ...
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish. Teacher: Now, understand the problem? Solve this instance: Gli ho detto, "" Io sono una fedele, e le donne e i bambini che si trovano in queste condizioni terribili devono far sopravvivere la loro fede. "" Sorrise a...
Le dije, 'Soy una creyente, y las mujeres y los niños en estas terribles condiciones necesitan su fe para sobrevivir. "" Sonrió astutamente.
6
NIv2
task1249_ted_translation_it_es
zs_opt
[ -0.8217477798461914, 0.37734735012054443, -0.1687321960926056, -0.674105167388916, -0.342186838388443, -0.7958097457885742, -0.15325716137886047, 1.3585894107818604, 0.3696817457675934, -0.4091654419898987, -0.012003308162093163, -0.025169989094138145, -0.6099225282669067, -0.3734867870807...
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 the even...
No
3
NIv2
task1199_atomic_classification_xattr
zs_opt
[ -0.0594278909265995, 0.1811305433511734, 0.5040683746337891, 0.06209198012948036, -0.3408127427101135, -0.9370691180229187, 0.5364924073219299, 0.26525503396987915, -0.5482411980628967, -0.03828274831175804, -0.30321455001831055, -0.6859160661697388, -0.42261379957199097, -0.13864615559577...
TASK DEFINITION: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place. PROBLEM: Time to ditch this place. Came for a late bite last night 6/14 and had the worst service in my multiple visits here. \n\nMy boyfriend had 20 minute wait for another drink, our food cam...
5 stars
8
NIv2
task1292_yelp_review_full_text_categorization
fs_opt
[ 0.3428468108177185, 0.34335994720458984, -1.0244919061660767, 0.020020417869091034, 0.22979187965393066, -0.07853733003139496, 0.6051322817802429, 1.0597352981567383, -0.33373457193374634, -0.1586492955684662, 0.4939610958099365, 0.41991445422172546, -0.32270240783691406, 0.298293232917785...
instruction: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . question: Statement: गणेश कुंडाच्या समोरच मुख्य गाभार६यात देवेंद्रवरद श्री चिंतामणीची दक्षिणाभिमुख मू...
अमेरिका
9
NIv2
task950_wiki_cloze_mr_multiple_choice_question_answering
fs_opt
[ 0.4658130705356598, 0.5217009782791138, -0.33345943689346313, 0.13461460173130035, -0.16535872220993042, -0.9543089866638184, 0.3721250295639038, 0.5405161380767822, -0.43087321519851685, -0.2808338701725006, -0.5452414751052856, 0.09423914551734924, -0.4363197088241577, -0.059878338128328...
Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion Q: Support you guys A:
Not in Expected Language
4
NIv2
task681_hope_edi_malayalam_text_classification
zs_opt
[ -0.23404279351234436, 0.33524736762046814, 0.2959410846233368, -0.27786117792129517, -0.3899451494216919, -0.9817002415657043, 0.09914544969797134, 1.0222229957580566, -0.31158143281936646, 0.11830797791481018, -0.6618561148643494, -0.006988232024013996, -0.1329810619354248, -0.49902802705...
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. Q: cake, fib, replace, fudge, unlicensed A:
cake
4
NIv2
task142_odd-man-out_classification_no_category
zs_opt
[ 0.6742895245552063, 0.7901266813278198, 0.6257035136222839, -0.6357055306434631, -0.024726012721657753, -0.08080369979143143, 0.4580988883972168, 0.5565311312675476, -0.6864392161369324, -0.5562548637390137, -0.760236382484436, -0.5774893760681152, -1.1230294704437256, -0.03801164776086807...
Instructions: You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Y...
No.
3
NIv2
task050_multirc_answerability
zs_opt
[ -0.895567774772644, 0.20755358040332794, 0.15397918224334717, 0.5641292333602905, -0.3342306911945343, -1.3408591747283936, 0.3704302906990051, 1.0913126468658447, 0.038071759045124054, -0.033595044165849686, 0.15863710641860962, -0.02842838317155838, -0.4946105480194092, 0.234704479575157...
Definition: Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong)...
OTHER
2
NIv2
task498_scruples_anecdotes_whoiswrong_classification
zs_opt
[ 0.3426152467727661, 0.4146025478839874, -0.10823053866624832, -0.09753189235925674, -0.1675676554441452, -0.3221740424633026, 0.5912603139877319, 0.3068428039550781, 0.28862830996513367, 0.038753122091293335, -0.5842394828796387, 0.7553702592849731, -1.0305378437042236, -0.0684411525726318...
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating...
Does reconstruction of the Posterolateral Corner After Sequential Sectioning restore Knee Kinematics?
0
NIv2
task845_pubmedqa_question_generation
zs_opt
[ 0.6595074534416199, -0.06602995097637177, -0.6305892467498779, 0.6636123061180115, 0.7047903537750244, 0.07872854173183441, 0.9708347916603088, 0.6892560720443726, 0.03285440430045128, 0.07847407460212708, -0.49345582723617554, 0.3868529796600342, -0.8141161203384399, 0.9053372740745544, ...
Instructions: Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments. Input: Sentence: 'The members will review the past years rules and make a list of revisions if necessary to be presented to the Executive B...
meet in
3
NIv2
task676_ollie_relationship_answer_generation
zs_opt
[ -0.030735522508621216, 0.37442731857299805, 0.13484856486320496, -0.559688925743103, -0.24954523146152496, -1.202167272567749, 0.7249115705490112, 0.19048579037189484, 0.05144619569182396, -0.09363797307014465, 0.023052891716361046, -0.20123596489429474, -0.39778101444244385, 0.52612632513...
instruction: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text. question: Mr Durkan said the department of environment represented a "diverse portfolio" covering a wide spectrum of environmental and economic issues. He was elected to the assembly in 2011...
A man has died after being stabbed in east London.
9
NIv2
task1357_xlsum_summary_generation
fs_opt
[ 0.3089459538459778, 0.5060826539993286, -0.1631888449192047, -0.9720537066459656, -0.07364878058433533, -0.5414268970489502, -0.011719299480319023, 0.7420941591262817, -0.5725476741790771, 0.3682636320590973, 0.17885145545005798, 0.7727811336517334, -0.8483244776725769, 0.4635545611381531,...
You will be given a definition of a task first, then some input of the task. Construct a question that every answer in the list is correct and reasonable for it. snake, spider, porcupine, echidna, koala, ferret Output:
name an animal that is scary to hold.
1
NIv2
task821_protoqa_question_generation
zs_opt
[ -0.6619011759757996, 0.6455929279327393, -0.3554956912994385, -0.46951913833618164, 0.13561603426933289, -0.39317193627357483, 0.10508710145950317, -0.6235613822937012, 0.7980862259864807, -0.2923555374145508, 0.22721341252326965, 0.295029878616333, -1.0474653244018555, -0.6901413202285767...
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into English. Problem:Mam dwie wiadomości, złą i dobrą. Mam też dla Was jedno zadanie. Solution:
So I have bad news, I have good news, and I have a task.
8
NIv2
task1256_ted_translation_pl_en
zs_opt
[ -0.4217211902141571, 0.5712370872497559, 0.31706735491752625, -0.30803626775741577, 0.1653616726398468, -0.9550558924674988, 0.33635878562927246, -0.15383650362491608, -0.10341759771108627, -0.024895381182432175, -0.22527489066123962, 0.1885165125131607, -0.4701905846595764, 0.010935659520...
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish. Problem:E dígolle a Tony: "" Fagámolo "". Solution:
Y yo le digo a Tony, "" Hagámoslo "".
8
NIv2
task1240_ted_translation_gl_es
zs_opt
[ 0.553861677646637, 1.1549131870269775, 0.22838395833969116, -0.7526050806045532, -0.0003251114976592362, -2.106210708618164, 0.13439010083675385, 0.8323608636856079, -0.4447765052318573, -0.405455082654953, -0.05689755827188492, 0.6325690746307373, -1.2616311311721802, 0.3649298846721649, ...
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi. Teacher: Now, understand the problem? If you are still confused, see the following example: E eu continuo a pensar que o transporte é o centro deste universo. Solution: من همچنان معتقدم که حمل و نقل کانون مشکلا...
خیلی از تحول ‌ ها چیزی جز تمرین تعدیل نیرو نیست ؛ اخراج ، زیر ماسک تحول.
2
NIv2
task1282_ted_translation_pt_fa
fs_opt
[ -0.6841742396354675, 0.4941199719905853, 0.37742236256599426, 0.15495401620864868, -0.6526395082473755, -0.4039280414581299, 0.4343498945236206, 0.42181190848350525, 0.2622467875480652, 0.07784946262836456, -0.674339234828949, 0.13585329055786133, -0.2939032316207886, 0.48108142614364624, ...
TASK 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 lis...
[4, 7, 9]
8
NIv2
task098_conala_list_intersection
fs_opt
[ 0.5018291473388672, 0.17597979307174683, -0.6427809000015259, -0.5397997498512268, 0.05867115780711174, 0.4102023243904114, 1.0395735502243042, 0.46798473596572876, 0.03524957224726677, -0.052725136280059814, -0.5791717767715454, -0.32198208570480347, -0.43759870529174805, 0.30431672930717...
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that...
walk opposite right thrice after jump
8
NIv2
task129_scan_long_text_generation_action_command_short
zs_opt
[ 0.07514896243810654, 0.9600397348403931, -0.5502035617828369, -0.12022101134061813, -0.18241184949874878, 0.5505672693252563, 0.28482645750045776, 0.5040524005889893, -0.4857606291770935, -0.42846551537513733, -0.9232512712478638, -0.3352341055870056, -0.7489855885505676, -0.00444531114771...
Part 1. Definition You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish. Part 2. Example 全て肋骨の間から行うのです Answer: Wszystko jest robione pomiędzy żebrami. Explanation: The Japanese sentence is correctly translated into Polish, because the meaning is preserved. Part 3. Exercise 一言...
W skrócie - w tradycyjnej Afryce mieliśmy wolnorynkowy system.
7
NIv2
task1097_ted_translation_ja_pl
fs_opt
[ 0.12946045398712158, 0.715194821357727, -0.4165242314338684, -0.15803465247154236, 0.06425702571868896, 0.39393937587738037, 1.0222676992416382, -0.5319814682006836, -0.42372381687164307, -0.7270432710647583, -0.7097369432449341, 0.5898997783660889, -1.0057635307312012, 0.532037615776062, ...
Given the task definition, example input & output, solve the new input case. You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labelin...
No.
1
NIv2
task050_multirc_answerability
fs_opt
[ -0.8056759834289551, 0.5607020854949951, 0.32596030831336975, 0.7216825485229492, -0.19046464562416077, -0.9077515602111816, 0.2807513475418091, 1.0424442291259766, 0.10529576241970062, 0.12614703178405762, -0.3756009638309479, 0.01731066405773163, 0.06998391449451447, -0.2511841654777527,...
Definition: In this task you are given an anecdote. You must find out whether the anecdote is something the author has done or is considering doing. Label the instances as "HISTORICAL" when the author has already done something and label them as "HYPOTHETICAL" when the author is considering doing something in the futur...
HISTORICAL
2
NIv2
task282_scruples_event_time
zs_opt
[ 0.38245242834091187, 0.1039305180311203, -0.1326340287923813, -0.41196250915527344, 0.6508583426475525, -0.7371835112571716, 0.8408358693122864, 0.9936612844467163, 0.2594289183616638, 0.13439786434173584, 0.017612699419260025, 0.7255779504776001, -0.2581399977207184, -0.35467442870140076,...
In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3. Question: What country won the Russo-Japanese War? Passage 1:So...
2
0
NIv2
task230_iirc_passage_classification
zs_opt
[ 0.6058341860771179, -0.4172031879425049, -0.5303665995597839, 0.018377777189016342, 0.9778078198432922, 0.17097672820091248, 1.0273056030273438, 1.0236036777496338, -0.18779245018959045, 0.11530886590480804, 0.10341054946184158, 0.6454249620437622, -0.18182776868343353, 0.08537308871746063...
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 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...
False
0
NIv2
task403_creak_commonsense_inference
fs_opt
[ 0.19619309902191162, 0.8486231565475464, -0.5907621383666992, 0.44402390718460083, -0.15644089877605438, -0.8634788990020752, 0.8991817831993103, 0.3110819458961487, 0.03508521616458893, -0.05342935398221016, -0.429521381855011, -0.40984994173049927, 0.012865718454122543, 0.341775625944137...
Given an entity as input, output another entity which is part of the input entity. 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., output entity) is in a part-of relationship with its holo...
feather
1
NIv2
task471_haspart_answer_generation
fs_opt
[ -0.6464160680770874, 0.41957888007164, -0.24740085005760193, 0.08890500664710999, -0.530143678188324, -0.6220921277999878, -0.5885282158851624, 0.24760977923870087, 0.6421878337860107, -0.8907390832901001, -0.5751148462295532, 0.5154285430908203, -0.6756876707077026, -0.17339423298835754, ...
Instructions: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence b...
False
3
NIv2
task1311_amazonreview_rating_classification
zs_opt
[ -0.1488458216190338, 0.05861303582787514, 0.07483670115470886, -0.09479761123657227, 0.13426712155342102, -0.5521649122238159, 0.7325783371925354, 0.2945936918258667, -0.04067367687821388, 0.17058849334716797, -0.7542881965637207, -0.24582651257514954, -0.4527702331542969, 0.22920663654804...
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi...
WP VBZ DT NN IN DT CD NN VBN IN NNP NNP .
0
NIv2
task345_hybridqa_answer_generation
zs_opt
[ -0.5165179371833801, 0.47049829363822937, -0.4755614101886749, 0.18185807764530182, -0.509909451007843, -0.05243838578462601, 1.0185182094573975, 0.3764999806880951, -0.0725792646408081, -0.2925896644592285, -0.42518240213394165, 0.0920780673623085, -0.5081589221954346, 0.09656389057636261...
Part 1. Definition In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German. Part 2. Example Flu in birds is quite common. Answer: Grippe ...
- Jegliche Kommunikation mit Auftraggebern, Partnern, Medien und der Öffentlichkeit erfolgt gemäß dem Notfall-Kommunikationsplan.
7
NIv2
task1396_europa_ecdc_tm_en_de_translation
fs_opt
[ -0.4626597762107849, 0.6151415109634399, 0.0021754950284957886, -0.7182124853134155, 0.18492916226387024, -0.16140198707580566, 0.6540248394012451, 0.4714614748954773, -0.16286815702915192, -0.2048814296722412, -0.21320928633213043, 0.34319156408309937, -0.8688867092132568, 0.1333393454551...
In this task, you need to replace a letter in the sentence with another given letter. [Q]: Sentence: 'a group of sheep is standing in a grassy field'. Replace the letter 'g' with 'p' in the sentence. [A]: a proup of sheep is standinp in a prassy field [Q]: Sentence: 'a dog wearing a hat on top of it's head'. Replace...
looking up at a stong clock towgr with wgathgr vang
5
NIv2
task160_replace_letter_in_a_sentence
fs_opt
[ -0.19807493686676025, 0.21840879321098328, 0.0589994452893734, -0.33578088879585266, 0.3304871916770935, -1.7312896251678467, -0.02084725722670555, 0.8897223472595215, -0.19147233664989471, -0.4964175224304199, -0.5851812362670898, -0.15571260452270508, -0.38458889722824097, -0.33565774559...
Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). Person...
No
5
NIv2
task1212_atomic_classification_hasproperty
zs_opt
[ 0.14378473162651062, 0.25163033604621887, 0.5107330083847046, -0.09444254636764526, -0.31503427028656006, -0.6719950437545776, 1.485738754272461, 0.5621811151504517, -0.5434255599975586, -0.5298119187355042, -0.6940147876739502, -0.420371413230896, -0.603115439414978, 0.16357341408729553, ...
In this task, you are given music product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative. [Q]: When Christmas was fun! . I had this record when I was little so when I saw it out o...
NEG
5
NIv2
task478_cls_english_music_classification
fs_opt
[ -0.06221688166260719, 0.05652158334851265, -0.3902184069156647, 0.3488662838935852, 0.8527426719665527, -0.2432539165019989, 1.0298113822937012, 0.8019243478775024, 0.30401507019996643, 0.6986791491508484, 0.18594887852668762, 0.1569485366344452, -0.33129388093948364, -0.33245617151260376,...
Instructions: 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 ind...
green_treasure_chest
3
NIv2
task153_tomqa_find_location_hard_clean
zs_opt
[ 0.4497760534286499, -0.04762159287929535, -0.2064536064863205, 0.014901256188750267, -0.48627209663391113, -0.4977397918701172, -0.312387079000473, 1.210679292678833, 0.18254223465919495, -0.23203882575035095, -0.31739938259124756, 0.25974544882774353, 0.034381203353405, 0.2193672657012939...
Instructions: 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 relevant to the question asked, and (iv) ...
外周连属部分
3
NIv2
task1570_cmrc2018_answer_generation
zs_opt
[ 1.0194835662841797, -0.2715984582901001, -1.2128326892852783, 0.530099630355835, 0.6491642594337463, -0.3839574456214905, -0.08955933153629303, 0.20383334159851074, -0.8340862393379211, -0.468936026096344, -0.19936327636241913, 0.1343284249305725, -0.13861803710460663, 0.136124849319458, ...
In this task, you will be presented with a question in Persian. Based on the knowledge you need to answer the question, classify the question into "math_and_logic", "literature", or "common_knowledge". [Q]: آقای گل ملی جهان کیست؟ [A]: common_knowledge [Q]: دومین روزنامه قدیمی ایران چه نام داشت و سرپرست آن چه کسی بود...
common_knowledge
5
NIv2
task474_parsinlu_mc_classification
fs_opt
[ -0.5418950915336609, 1.0781182050704956, 0.03242824226617813, -0.16948065161705017, -0.9645750522613525, 0.08013381063938141, 0.5453743934631348, -0.03505310043692589, 0.6659452319145203, -0.7702491283416748, -1.0413419008255005, 0.6604191064834595, -0.5649128556251526, 0.40427711606025696...
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question. Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ...
¿De qué trataba el mensalão según Paes?
4
NIv2
task1335_sqac_question_generation
zs_opt
[ 0.09009736776351929, 0.5568978786468506, -0.19569869339466095, -0.42143920063972473, 0.7903851270675659, 0.16182255744934082, 0.682629406452179, 0.7864226698875427, -0.15682795643806458, 0.32376283407211304, -0.31592556834220886, 0.7046682834625244, 0.051614947617053986, 0.0284019820392131...
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul...
Question: Why can't Greg get help from the locals?, Answer: they do not believe him
4
NIv2
task182_duorc_question_generation
zs_opt
[ 0.45313119888305664, 0.3572688400745392, -0.6752583384513855, -0.32081714272499084, 0.32248714566230774, -1.2039822340011597, 0.7644572257995605, 0.6920864582061768, -0.5089602470397949, 0.34832537174224854, 0.12522003054618835, 0.11632220447063446, -0.5249744653701782, 0.1527090072631836,...
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t...
Solution: OUejpH, hbejMN
5
NIv2
task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists
fs_opt
[ 0.35709643363952637, 0.5956897139549255, -0.47641730308532715, -0.42204996943473816, 0.12028779089450836, -0.13180950284004211, 0.4824644923210144, 0.05759505555033684, -0.056076258420944214, 0.46392664313316345, -0.7590426206588745, -0.443814218044281, 0.005840689409524202, 0.191208347678...
Detailed Instructions: 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. Q: Article: Just...
No
9
NIv2
task310_race_classification
zs_opt
[ 0.045652762055397034, 0.03932873159646988, -0.04634067788720131, 0.17878979444503784, 0.24299073219299316, 0.37533217668533325, 0.37675583362579346, 0.7143424153327942, -0.38352739810943604, 0.41807276010513306, 0.8480846881866455, -0.1806354522705078, 0.27351075410842896, 0.06959423422813...
Definition: In this task, you will be presented with a question having multiple possible answers in Urdu language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge. Input: Question: آپ اپنی پتلون میں کلینیکس کہاں رکھیں گے؟ Options: A ناک اڑا B ڈبہ C ج...
C
2
NIv2
task1132_xcsr_ur_commonsense_mc_classification
zs_opt
[ -0.3899962306022644, 0.7407335638999939, -0.7200238704681396, -0.36202478408813477, -0.7065187692642212, -0.12766413390636444, 0.5119464993476868, -0.36130574345588684, -0.06418344378471375, -0.4924612045288086, -0.5655432939529419, 0.558907151222229, -0.27614814043045044, 0.39938706159591...
Given the task definition and input, reply with output. You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in th...
sadness
5
NIv2
task1662_cedr_ru_classification
zs_opt
[ -0.9845399856567383, 0.2704235315322876, 0.18722552061080933, -0.3362147808074951, -0.6556575298309326, -0.28306129574775696, 0.3113305866718292, 0.30082178115844727, -0.14726413786411285, -0.39651933312416077, -0.2917235791683197, 0.0705164223909378, -0.11022554337978363, 0.50247490406036...
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic. Example input: Mas o que são direitos humanos? Example output: ولكن ماهي حقوق الإنسان ؟ Example explanation: The Portugese sentence is correctly translated into Arabic, because the meaning is preserved. Q: Mas hoje qu...
ولكن اليوم ، أريد أن أركز على هذه الفكرة الخاصة بكتابة الموسيقى للأماكن المادية.
3
NIv2
task1277_ted_translation_pt_ar
fs_opt
[ 0.029879987239837646, 0.6526129841804504, 0.12005411088466644, -0.4140578806400299, -0.6907151937484741, -0.46512556076049805, 0.7789961099624634, 0.17449191212654114, 0.34525343775749207, -0.05241954326629639, -1.135522723197937, -0.33843284845352173, -0.7341464757919312, 0.28941962122917...
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not. One example is below. Q: ...
getting upset with my friend who said I didn't have any right to mourn her bfs death
9
NIv2
task500_scruples_anecdotes_title_generation
fs_opt
[ 0.27423882484436035, 0.10523837059736252, 0.029071805998682976, -0.2838228642940521, 0.49206846952438354, -0.42944633960723877, 0.3238220810890198, 0.5477672219276428, -0.602503776550293, 0.5076547265052795, 0.2326384335756302, 0.38974839448928833, -0.6524400115013123, 0.3028917908668518, ...
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician. Q: Sondaggio dopo sondaggio, dal Pew Research all'Annberg Center for Public Policy, si è constatato che il pubblico del Daily Show è più informato sull'attualità del pubblico dei canali di notiziari ...
Enquisa tras enquisa dende o Pew Research ao Centro Annenberg para Políticas Públicas, descubriron que a súa audiencia estaba mellor informada sobre a actualidade que a audiencia de todos os telexornais de cadeas públicas e de pago.
9
NIv2
task1252_ted_translation_it_gl
zs_opt
[ -0.7089047431945801, 0.1492978036403656, 0.8170446157455444, -0.4880334734916687, 0.3075818419456482, -0.881739616394043, -0.28269338607788086, 0.6812410354614258, -0.9633340239524841, 0.25855034589767456, -0.10367800295352936, -0.06378821283578873, -0.20953354239463806, 0.2049417793750763...
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No. ---...
No.
7
NIv2
task050_multirc_answerability
fs_opt
[ -0.5915132164955139, 0.528234601020813, 0.10917112976312637, 0.6682813167572021, -0.527803361415863, -1.3275648355484009, 0.18616166710853577, 0.9268971085548401, 0.10588313639163971, 0.13296352326869965, -0.15148848295211792, -0.04367392510175705, -0.18322360515594482, 0.08952230215072632...
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion -------- Question: my choice is to lovennimmediate tears. What an amazing young person Answer: Not Hope Speech ...
Hope Speech
7
NIv2
task679_hope_edi_english_text_classification
fs_opt
[ 0.096734419465065, 0.5776447057723999, 0.18960833549499512, -0.035535745322704315, -0.6450222730636597, -0.8029186129570007, 0.6170700192451477, 0.7811292409896851, 0.3244686424732208, 0.6313691735267639, 0.40599751472473145, -0.07376724481582642, -0.6646894812583923, 0.38078978657722473, ...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Italian. אפילו אחרי ה11 בספטמבר — ואני הייתי בניו יורק והרגשתי את הפחד — אף על פי כן, היה כל כך הרבה אומץ לב אנושי, כל כך הרבה אהבה וכל כך הרבה חמלה.
Anche dopo l '11 settembre, io ero a New York e ho sentito la paura, ma c'era così tanto coraggio umano, così tanto amore e compassione.
0
NIv2
task1111_ted_translation_he_it
zs_opt
[ -0.06080305576324463, 0.7594606876373291, -0.05729983001947403, 0.376595139503479, -0.4816569685935974, -1.187927484512329, -0.007547031622380018, 0.5640583634376526, 0.15790040791034698, -0.5407789945602417, -0.2541860044002533, 0.39421600103378296, -1.1372398138046265, 0.1015740185976028...
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list. Q: ['6925', '4701', 'H', 'n', '2175', 'w', '7935', 'o'] A: 4 **** Q: ['P', '4541...
2 ****
4
NIv2
task505_count_all_numerical_elements_in_list
fs_opt
[ -0.44845104217529297, 0.25383055210113525, -0.39996182918548584, -0.10433913767337799, -0.30186930298805237, -0.9048942923545837, 0.6308368444442749, 0.3525218069553375, -0.5630277395248413, 0.378971129655838, -0.951285719871521, 0.27986228466033936, 0.44269514083862305, 0.0927547141909599...
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You are also given a question about the story that requires an u...
village B.
0
NIv2
task061_ropes_answer_generation
zs_opt
[ -0.10693124681711197, 0.35744696855545044, -0.19483786821365356, -0.2844797968864441, -0.14930471777915955, -0.8111144304275513, 0.7091870307922363, 1.1515928506851196, -0.35253435373306274, -0.17605648934841156, -0.7681756615638733, 0.7275890111923218, -1.224487066268921, 0.17917302250862...
Definition: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer. Input: While playing a trivia game , Ad...
50
2
NIv2
task867_mawps_multiop_question_answering
zs_opt
[ 0.5214413404464722, 0.44896018505096436, -0.22945916652679443, -0.8018380403518677, -0.5590661764144897, 0.41547664999961853, 0.9759498834609985, 0.35697805881500244, 0.22303563356399536, -0.35948920249938965, -0.8845630884170532, -0.3637281060218811, -0.7526760101318359, 0.216699838638305...
You will be given a definition of a task first, then some input of the task. In this task, you're given a context passage, an answer, and a question. Your task is to classify whether the question for this answer is correct or not, based on the given context with commonsense reasoning about social situations. If its cor...
False
1
NIv2
task384_socialiqa_question_classification
zs_opt
[ -0.3056698441505432, 0.6300559043884277, 0.19235318899154663, 0.037955641746520996, 0.08174218982458115, 0.2902640998363495, 0.8556991815567017, 0.5678164958953857, 0.08005209267139435, 0.03882192075252533, -0.3283470869064331, 0.14566269516944885, -0.974743664264679, 0.061204150319099426,...
Detailed Instructions: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You ar...
Text two
8
NIv2
task112_asset_simple_sentence_identification
zs_opt
[ -1.1133201122283936, 0.19734738767147064, 0.10946004092693329, -0.20901575684547424, -0.30153271555900574, -0.4459877610206604, 0.8889979124069214, 0.5550682544708252, 0.13033902645111084, -0.21330246329307556, -0.32379209995269775, -0.3232904076576233, -0.5421674251556396, 0.1256151199340...
You will be given a definition of a task first, then some input of the task. Translate the given Spanish text to English The present invention relates to a process of producing composite materials by a sol/gel-process, comprising carbon nanoparticles and organic polymer material. Output:
La presente invencion se relaciona con un proceso para producir materiales compuestos mediante un proceso de sol/gel, que comprende nanoparticulas de carbono y un material polimerico organico.
1
NIv2
task840_para_pdt_en_es_translation
zs_opt
[ -0.28900474309921265, 0.7863726615905762, -0.42141327261924744, -0.11078818142414093, -0.37818679213523865, 0.08110964298248291, 0.04799371585249901, 1.3217074871063232, 0.1224772036075592, 0.358845055103302, -0.2257758378982544, -0.3550023138523102, 0.47381433844566345, 0.1608944237232208...
Teacher: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list Teacher: Now, understand the problem? If you are still confused, see...
12
2
NIv2
task504_count_all_alphabetical_elements_in_list
fs_opt
[ 0.15816479921340942, -0.014527227729558945, -0.26401734352111816, -0.1803165078163147, 0.4462801218032837, -1.3697645664215088, 0.42043495178222656, 0.4445992708206177, -1.0006238222122192, 0.24686528742313385, -0.3933711051940918, -0.09447270631790161, 0.1761431097984314, 0.23277223110198...
Teacher: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j. Teacher...
6269, 4831, 6121, Y
2
NIv2
task099_reverse_elements_between_index_i_and_j
fs_opt
[ -0.09844478219747543, -0.19707828760147095, -0.13657236099243164, -0.5296109914779663, 0.3346761465072632, -0.6024504899978638, 0.4038698077201843, 0.04730865731835365, -0.4653500020503998, 0.2808235287666321, -0.9681710004806519, -0.06534142792224884, 0.15370118618011475, -0.2320155352354...
Teacher:In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any ex...
who kills Lewis Prothero ?
6
NIv2
task193_duorc_question_generation
zs_opt
[ 0.8719838857650757, -0.06312121450901031, 0.06739063560962677, 0.07466483861207962, 0.25059089064598083, -0.31253331899642944, 0.6714413166046143, 0.7935152053833008, 0.054841771721839905, 0.5738570690155029, -0.5664082765579224, 0.522249698638916, -0.4897436201572418, 0.11774954199790955,...
Teacher: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). Teacher: Now, understand the problem? Solve this instance: Context: The Palace of Auburn H...
detroit
6
NIv2
task1296_wiki_hop_question_answering
zs_opt
[ 0.9887878894805908, -0.23893722891807556, -1.2131471633911133, 0.2979394793510437, 0.6482951641082764, -0.4803999662399292, 0.8268603682518005, 0.5033774971961975, -0.07852287590503693, 0.2926928400993347, -0.5372009873390198, 0.834604024887085, -0.8617081642150879, 0.4019431173801422, 0...
Given the task definition, example input & output, solve the new input case. This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is uniq...
What is the largest city in all of California?
1
NIv2
task074_squad1.1_question_generation
fs_opt
[ 0.9882961511611938, 0.6153974533081055, -0.14741599559783936, 0.5156737565994263, 0.6587585210800171, -0.3536037504673004, 0.5985448360443115, 0.9918450713157654, 0.3272468149662018, -0.1460593193769455, 0.30732864141464233, 0.014907343313097954, -0.4332296848297119, -0.35583797097206116, ...
Detailed Instructions: Given a sentence in Arabic, generate a new Arabic sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonabl...
« إنكم » يا أهل مكة « لتجدون » يا أهل مكة « حبرا » على الله تعالى « في بُحْرٍ » بُعْدَه.
8
NIv2
task414_mickey_ar_sentence_perturbation_generation
zs_opt
[ 0.1871945858001709, 0.41703706979751587, -0.11235462874174118, -0.32564136385917664, -0.3721730411052704, 0.036436356604099274, 0.9715301990509033, 0.6263389587402344, 0.24492987990379333, -0.16270732879638672, -1.2511167526245117, 0.4059663414955139, -1.3686549663543701, 0.269889265298843...
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to con...
The boy is riding a see-saw.
9
NIv2
task187_snli_entailment_to_contradiction_text_modification
zs_opt
[ -0.9882480502128601, 0.7893514633178711, -0.013178011402487755, -0.754928469657898, 0.02407136932015419, -0.21865929663181305, -0.12220120429992676, 0.8432184457778931, 0.3530397415161133, -0.48260557651519775, -0.7415399551391602, 0.020785987377166748, -0.5916332006454468, 0.1437550187110...
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity. Let me give you an example: 1 3/4 cups all purpose flour, 1/4 cup finely ground blanched almonds, 1 teaspoon grated lemon zest, 1/2 cup confectioners sugar,...
tomato sauce, oregano, basil, garlic, pepper
8
NIv2
task570_recipe_nlg_ner_generation
fs_opt
[ 0.20412474870681763, 0.35717856884002686, 0.24156725406646729, 0.7631809711456299, 0.03224102407693863, -0.7326738834381104, 0.006655292119830847, 0.5791073441505432, -0.8772964477539062, -0.0409453883767128, 0.2719053328037262, -0.015840712934732437, -0.9936423301696777, -0.16827340424060...
instruction: 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 addi...
weakener
9
NIv2
task935_defeasible_nli_atomic_classification
fs_opt
[ 0.39088302850723267, 0.22632968425750732, -0.42029356956481934, 0.05119231343269348, -0.26278063654899597, -0.9594802260398865, 1.1439344882965088, 1.0591645240783691, 0.6024209260940552, -1.0677764415740967, -0.9743317365646362, -0.23199816048145294, -0.9057250022888184, -0.13782507181167...
Detailed Instructions: In this task, you are given books product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative. See one example below: Problem: Effektiv und mit viel Spaß lernen . ...
POS
4
NIv2
task479_cls_german_books_classification
fs_opt
[ -0.09185676276683807, 0.23565471172332764, -0.2536109983921051, -0.320831835269928, 0.5753960609436035, 0.3550311326980591, 1.3373805284500122, 0.6546922922134399, 0.3410036563873291, 0.17382186651229858, -0.298051655292511, -0.31048130989074707, -0.799653172492981, -0.24614322185516357, ...
Part 1. Definition 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. Part 2. 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。 Answer: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្...
"ទេ" ឆ្លើយដោយវិកគីលីកមកកាន់ពួកយើង "ពួកយើងស្វាគមន៍វា។"
7
NIv2
task1121_alt_ja_khm_translation
fs_opt
[ -0.02846282720565796, 0.4660225212574005, -0.6416292190551758, 0.4020143151283264, -0.2384481430053711, -0.5957078337669373, 0.8272472023963928, 0.1423906683921814, 0.17365780472755432, -0.38478007912635803, -1.084434986114502, 0.7632147669792175, -0.8687963485717773, 0.7098807096481323, ...
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 are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them. These results suggest that both the distinct DNA binding prope...
PMLRAR homodimers
1
NIv2
task1481_gene_extraction_bc2gm_dataset
zs_opt
[ -0.26574790477752686, 0.06600846350193024, -0.2736947536468506, -0.264942467212677, -0.9777333736419678, 0.15960964560508728, 0.3321895897388458, -0.03670996427536011, 0.3990603983402252, -0.21013015508651733, -1.1322619915008545, 0.2023351788520813, -0.8417466282844543, 0.2840607762336731...
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10. Example input: Sentence 1: Next to the MGM Grand you will find M and M World. Sentence 2: The c...
1
3
NIv2
task198_mnli_domain_classification
fs_opt
[ -0.1946977972984314, 0.10481057316064835, 0.19727134704589844, -0.23518002033233643, 0.2979307174682617, -0.153728187084198, -0.023515067994594574, 0.9654221534729004, -0.3069799542427063, -0.1390538215637207, -0.8466256856918335, -0.17264439165592194, -0.2080010175704956, -0.7899442911148...
In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list. 3, 8, ['5725', '8287', 'O', 'D', '5133', 'S', 'N', 'g', 'j', 'U'...
2245, 5233
0
NIv2
task1551_every_ith_element_from_kth_element
fs_opt
[ 0.1422261893749237, -0.07584063708782196, -1.0463683605194092, -0.6284343004226685, -0.44487258791923523, -0.38135865330696106, 0.24067847430706024, 0.2663320004940033, -0.61395663022995, 0.2643163204193115, -0.6235700845718384, -0.13817545771598816, 0.409099817276001, 0.07554642111063004,...
Detailed Instructions: Craft one correct answer to the question given in input. To make it more interesting, try to use non-stereotypical language if possible. Make sure your correct answer is reasonably long, consistent with the context, and requires common sense (instead of explicit extraction from the context.) In y...
I might have gone all in .
9
NIv2
task024_cosmosqa_answer_generation
zs_opt
[ -0.10048690438270569, 0.35404497385025024, -0.31185734272003174, -0.13862864673137665, -0.0035368294920772314, -0.28544116020202637, 1.1510858535766602, 0.4825838804244995, -0.5986296534538269, -0.4700087606906891, -0.3310236930847168, 0.20300070941448212, -1.2829194068908691, 0.0545365773...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish. Q: ale też o facecie próbującym uniknąć rozwodu. A: Es sobre un tipo que está al borde del divorcio. **** Q: Tylko zdystansowanie się do życia i świata pozwala dostrzec istotę rzeczy i znaleźć dom. A: Y solo cuando te apar...
Así que acabamos con esta idea que finalmente llamamos "" estofado tecnológico "". Empezamos a buscar afuera, en otros campos ****
4
NIv2
task1258_ted_translation_pl_es
fs_opt
[ -0.7468044757843018, 1.570560097694397, 0.09750096499919891, 0.044950298964977264, 0.04204138368368149, -0.6469072103500366, 0.5389351844787598, 0.1084432452917099, 0.05554759502410889, -0.23422876000404358, -0.2673988938331604, 0.9498809576034546, -0.9277883768081665, 0.4893094301223755, ...
In this task, you will be shown a passage. You need to write a fill-in-the-gap question based on your understanding of the events that might be inferred from the passage. Your question should be answerable based on the passage and only have one correct answer. Show the gap in your question with a _ . Mercedes-Benz Fas...
It's the ninth time Ellery has showcased her wares at _.
0
NIv2
task301_record_question_generation
zs_opt
[ 0.20061303675174713, 0.3323098421096802, -0.09624309837818146, -0.22748765349388123, -0.018996063619852066, -0.14116176962852478, -0.1399378776550293, 0.47864407300949097, 0.49444881081581116, 0.5130298733711243, -0.2663416564464569, 0.8811279535293579, -0.4637562036514282, 0.0592913851141...
You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You need to come up with a question about the story that require...
Which has higher kinetic energy, carbon dioxide in a cola solution at rest, or in a shaken state?
4
NIv2
task060_ropes_question_generation
zs_opt
[ 0.015906378626823425, 0.8580153584480286, -0.13093875348567963, -0.48584121465682983, -0.14462943375110626, -0.5443518161773682, 0.4095038175582886, 0.58714759349823, -0.15490829944610596, -0.3484499454498291, -0.24670207500457764, -0.29684674739837646, -0.7002438902854919, 0.2581503093242...
You will be given a definition of a task first, then some input of the task. Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact English sentence: He should also be praised when hearing the Call to Prayer because he said, "If my name is me...
Sidoo kale waa in uu la ammaano, marka maqalka Wicitaanka in salaadda, maxaa yeelay, wuxuu yidhi, "Haddii aan magaca la Xuso hore ee qofka oo isna maba igu ammaanaan, isaga, waayo, waa sida haddii sankiisu lagaa masaxo ee ciidda."
1
NIv2
task446_opus_paracrawl_en_so_translation
zs_opt
[ 0.19688257575035095, 0.8525698184967041, 0.07090506702661514, -0.3870237469673157, 0.08022676408290863, -1.3106369972229004, 0.6296578049659729, -0.12896384298801422, -0.17870934307575226, 0.7337306141853333, 0.12967902421951294, 0.4968867003917694, -1.271966814994812, -0.5056064128875732,...
Translate from English to Hindi. One example: Go to the employment office. Solution is here: रोजगार कार्यालय जाओ. Explanation: The translation is accurate. Now, solve this: It's quite an attraction here. Solution:
यह यहाँ का एक अच्छा आकर्षण है.
6
NIv2
task1329_open_subtitles_en_hi_translation
fs_opt
[ -0.29499971866607666, 0.31005001068115234, -0.17911508679389954, 0.42320114374160767, 0.06225883588194847, -0.6755415797233582, -0.204942986369133, 0.2732260823249817, 0.6729354858398438, -0.0034421281889081, -0.1943567991256714, -0.19658750295639038, -0.04227301478385925, 0.48575338721275...
Part 1. Definition In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man". Part 2. Example M: I am considering dropping my dancing class. I am not making any prog...
(B) Be relaxed and calm and she will make it.
7
NIv2
task247_dream_answer_generation
fs_opt
[ 0.704684853553772, -0.1518033891916275, -0.4250231981277466, -0.5266018509864807, 0.6996975541114807, -0.4511415362358093, 1.0230528116226196, 0.6006022691726685, -0.03468345105648041, -0.4694559574127197, -0.7661934494972229, 0.1778070032596588, 0.21007142961025238, 0.025555089116096497, ...
Given the task definition and input, reply with output. You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language. Visvesvaraya_Tec...
The Acharya Institute of Technology's campus is in Soldevanahalli, Acharya Dr. Sarvapalli Radhakrishnan Road, Hessarghatta Main Road, Bangalore, Karnatka, 560090, Undia. Its director is Dr G.P. Prabhukumar. It is affiliated with the Visvesvaraya Technological University in Belgaum.
5
NIv2
task1728_web_nlg_data_to_text
zs_opt
[ -0.5644100904464722, 0.03881089389324188, -0.10537799447774887, -0.6300939917564392, -0.3958396017551422, -0.08039043098688126, 0.5018167495727539, -0.4844426214694977, -0.38270890712738037, 0.22036314010620117, -1.016803503036499, 0.5916116237640381, -0.03675463795661926, -0.1817865669727...
Instructions: In this task, you need to count the number of times the given letter appears in the given sentence. Input: Sentence: 'a street sign has been knocked on to the ground'. Find frequency of the letter 'g' Output:
2
3
NIv2
task113_count_frequency_of_letter
zs_opt
[ -0.9950578808784485, 0.6144609451293945, -0.11950398236513138, -1.1245887279510498, 1.0098912715911865, -0.6281840801239014, 0.45771467685699463, 0.7914712429046631, -0.5807963609695435, 0.16570475697517395, -0.7939249277114868, -0.6361017227172852, -0.30765628814697266, -0.180521190166473...
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown". Q: Event:PersonX makes PersonY jealous. Intent: 1) to be a friend 2) to celebrate a birthday A: Negative **** Q: Event:PersonX takes PersonX's seats...
Negative ****
4
NIv2
task923_event2mind_classifier
fs_opt
[ -0.5253485441207886, 0.3433542251586914, 0.2664094567298889, -0.36143064498901367, -0.356879323720932, -1.102425456047058, 0.8882840871810913, 0.1792687326669693, 0.45268714427948, 0.09061840176582336, 0.06503812223672867, 0.031919293105602264, -0.5186134576797485, 0.02672131359577179, 0...
Given the task definition, example input & output, solve the new input case. 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. Example: hNarAik Output: hNrk The three vowels in the input '...
JXZr
1
NIv2
task365_synthetic_remove_vowels
fs_opt
[ 0.3003251850605011, 0.9028546214103699, -0.16288436949253082, -0.39646562933921814, 0.36484163999557495, -0.17825597524642944, 0.3723143935203552, 0.31749019026756287, -0.0411505326628685, -0.5622566342353821, -0.245977982878685, -0.2936784625053406, 0.32802289724349976, -0.765146255493164...
Part 1. Definition You are given a sentence in Persian. Your job is to translate the Farsi sentence into English. Part 2. Example در جنوب غرب نیجریه ، این گیاه به عنوان Gbe'borun شناخته می ‌ شود. Answer: In the southwestern part of Nigeria, the plant is known as Gbe'borun. Explanation: The Farsi sentence is correctly t...
Stationery was donated.
7
NIv2
task1265_ted_translation_fa_en
fs_opt
[ -0.41026872396469116, 0.5165221095085144, -0.1088516041636467, -0.16018050909042358, 0.2182607799768448, -0.4206661880016327, 1.0863978862762451, 0.06317268311977386, 0.0230488870292902, 0.24950119853019714, -0.9575604200363159, 0.1881425380706787, -0.9302762746810913, 0.3490726947784424, ...
Teacher:In this task you are given a short story and a question regarding that story. You must answer the question based on the events of the story. Try to use the same words in the story to answer each question. You should completely answer the question in a short answer. Do not include information that is unnecessary...
Finally, she selected the green tea flavored cake.
6
NIv2
task332_tellmewhy_answer_generation
zs_opt
[ 0.5667950510978699, 0.3907843232154846, 0.2096690684556961, 0.03242218494415283, -0.4787121117115021, -0.8323619365692139, 0.032552316784858704, 0.37209397554397583, -0.04955611005425453, -0.039534758776426315, -0.0435311496257782, -0.19861334562301636, -0.35220158100128174, -0.14972305297...
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category. In...
Output: Hate Speech
2
NIv2
task904_hate_speech_offensive_classification
fs_opt
[ -0.4187937378883362, 0.5203587412834167, 0.2954779267311096, 0.6454832553863525, 0.2283051311969757, -1.0494627952575684, -0.34732311964035034, 0.7985448241233826, 0.25518113374710083, 0.4982869327068329, -0.3662145435810089, -0.7317065000534058, -0.3340505063533783, -0.8962979316711426, ...
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs. Example: Text: Cheval de soins pour les enfants de 3 ans! Example solution: French Example explanation: The given text is in French language Problem: Text: 18 Waxayna degga...
Solution: Somali
5
NIv2
task447_opus_paracrawl_classification
fs_opt
[ 0.13945041596889496, 0.6565782427787781, 0.05170401930809021, -0.7856209874153137, -0.20557217299938202, -0.21225453913211823, 0.6203087568283081, 0.757247269153595, 0.7354606986045837, -0.2107580602169037, -0.14374016225337982, 0.558954119682312, -0.5727355480194092, -0.2537851929664612, ...
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions shoul...
Output: Question: Who does White kidnap?, Answer: David, Fred, Amy, Bark and John.
2
NIv2
task182_duorc_question_generation
fs_opt
[ 0.8518810272216797, 0.2605687379837036, -0.5973031520843506, -0.25037580728530884, -0.04131179302930832, 0.2969651520252228, 1.329828143119812, 0.5391327142715454, -0.6144803762435913, -0.13661901652812958, -0.1795656979084015, 0.31262314319610596, -0.7196710109710693, 0.4682927131652832, ...
Detailed Instructions: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'. Q: (A) not being a good enough bridesmaid (B) not wanting my sister to get marr...
A
9
NIv2
task106_scruples_ethical_judgment
zs_opt
[ -0.36898308992385864, 0.9015203714370728, 0.37716740369796753, -0.8164706230163574, -0.5493779182434082, -0.4579870402812958, -0.6887872815132141, 0.4840300977230072, 0.21786335110664368, 1.0581457614898682, -0.19395938515663147, -0.36787521839141846, 0.022329004481434822, -0.9280434846878...
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
6
NIv2
task065_timetravel_consistent_sentence_classification
fs_opt
[ -0.07179313898086548, 0.2463414967060089, -0.570953369140625, 0.21717111766338348, 0.3471316397190094, -0.007486134767532349, 0.11842501163482666, 1.3869891166687012, 0.3036089241504669, -0.1003984808921814, -0.7672375440597534, -0.5027213096618652, -0.3638021647930145, -0.1889662891626358...
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:I love this stevia! I have tried MANY different kinds over the years and this one is my FAVE! Goe...
True
8
NIv2
task587_amazonfood_polarity_correction_classification
zs_opt
[ -0.4095439314842224, -0.6750273704528809, 0.35040080547332764, -0.16020093858242035, -0.1300126314163208, -0.5449215173721313, 1.0567622184753418, 0.3572066128253937, 0.757461428642273, 0.06385382264852524, -0.49289804697036743, -0.4105328917503357, -0.3517020344734192, -0.3606748580932617...
instruction: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). question: Konkurrensen utgör säkerligen grundvalen för en mark...
Mr Berenguer Fuster, we shall check all this.
9
NIv2
task312_europarl_sv_en_translation
fs_opt
[ -0.6857134103775024, 0.919439435005188, 0.7941622138023376, -1.0631846189498901, 0.1956806480884552, 0.43184980750083923, -0.07608380168676376, 0.8223509192466736, 0.047399841248989105, 0.48355478048324585, 0.1763051450252533, 0.3054232597351074, -0.42338162660598755, -0.6384216547012329, ...