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Given the task definition and input, reply with output. Given a passage, write a short incorrect summary based on the passage. japan 's nec corp. and UNK computer corp. of the united states said wednesday they had agreed to join forces in supercomputer sales .
trinidad and tobago poll draws heavy turnout by john babb
5
NIv2
task1579_gigaword_incorrect_summarization
zs_opt
[ -0.21418024599552155, 0.7821191549301147, -0.5847511887550354, 0.46337857842445374, -0.22889284789562225, 0.3676609992980957, 0.4414045810699463, -0.09151802211999893, 0.2888498306274414, 0.5388435125350952, 0.32553064823150635, -0.19784173369407654, 0.32899776101112366, 0.4552770256996155...
Teacher:Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No. Teacher: Now, understand the problem? Solve this instance: I think he's one of Dick's cousins. Student:
Yes
6
NIv2
task1723_civil_comments_sexuallyexplicit_classification
zs_opt
[ -0.7182176113128662, 0.2410736232995987, 0.3816561996936798, 0.25406980514526367, -0.5784883499145508, -0.31693699955940247, 0.14946740865707397, 0.3613241910934448, 0.691746175289154, 0.5448060035705566, -0.05431237071752548, -0.3771619200706482, -0.37228161096572876, -0.5493215918540955,...
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to...
I have a few too many drinks >Causes/Enables> I become less inhibited
4
NIv2
task748_glucose_reverse_cause_event_detection
zs_opt
[ 0.2218233048915863, 0.9358357191085815, -0.11376157402992249, -0.05422808229923248, -0.33659887313842773, -1.2325243949890137, 0.5200983285903931, 1.0413873195648193, -0.10531692206859589, -0.09088002145290375, -0.5354616641998291, 0.11446115374565125, -0.9169190526008606, -0.1344659179449...
instruction: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabilit...
आप एक खान में एक हीरे खोजने के लिए प्रवृत्त हैं.
9
NIv2
task407_mickey_hi_sentence_perturbation_generation
fs_opt
[ 0.16353799402713776, 0.8872394561767578, -0.11585089564323425, -0.2785124182701111, -0.2205691635608673, -1.694860577583313, 0.10340240597724915, 0.557321310043335, -0.26846569776535034, -0.6409534215927124, -1.2846940755844116, 0.17024481296539307, -0.10593979060649872, 0.2818990349769592...
Teacher: 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...
I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_TURN_RIGHT I_JUMP I_TURN_LEFT I_TURN_LEFT I_LOOK
2
NIv2
task128_scan_structured_text_generation_command_action_short
fs_opt
[ 0.029750537127256393, 0.5500653982162476, -0.26690369844436646, -0.17737670242786407, 0.22840480506420135, 0.07301091402769089, 0.224144846200943, 0.32119905948638916, -0.181099995970726, -0.35020506381988525, -0.7278234958648682, -0.19205069541931152, -0.8287395238876343, -0.2041662335395...
Given a category and a set of five words, find the word from the set that does not belong (i.e. is the least relevant) with the other words in the category. Words are separated by commas. Input: Consider Input: Category: aesthetic characteristic Words: there, ticket, fine, dull, level Output: ticket Input: Conside...
Output: fall
2
NIv2
task141_odd-man-out_classification_category
fs_opt
[ -0.2739070653915405, 0.31575578451156616, 0.04857251048088074, -0.1729259192943573, 0.03112693876028061, 0.5038089156150818, -0.3928322196006775, 0.29171863198280334, -0.14596512913703918, 0.05001872405409813, -0.5265071392059326, 0.08150414377450943, -0.8836227655410767, 0.020741801708936...
TASK DEFINITION: In this task, you are given a sentence in English, and your task is to translate it into Persian. PROBLEM: do you want to go someplace else . SOLUTION: ميخواي بريم يک جاي ديگه . PROBLEM: tell her youre one of her patients , feeling sick . SOLUTION: تو خودت را به مريضي مي‌زني . PROBLEM: younger than...
جوون تر از اوني که مادرها را خوشحال کنه .
8
NIv2
task658_tep_en_fa_translation
fs_opt
[ 0.27057451009750366, 0.3732753098011017, -0.35949811339378357, -0.6725009679794312, -0.5577653646469116, -0.2382364571094513, 1.207840919494629, 0.2262737900018692, 0.5718618035316467, 0.12006042897701263, -0.44839170575141907, 0.6921409368515015, -0.422303169965744, 0.03682302311062813, ...
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai...
against
4
NIv2
task1727_wiqa_what_is_the_effect
zs_opt
[ 0.5252494215965271, 0.7484945058822632, -0.010006526485085487, -0.13558585941791534, 0.4045906066894531, -0.41128838062286377, -0.2245347648859024, 1.1612038612365723, 0.00229560025036335, 0.4221365451812744, 0.09282374382019043, -0.5211887955665588, -0.42827337980270386, 0.244252949953079...
Detailed Instructions: In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender. Problem:Sentenc...
Cleaner
8
NIv2
task342_winomt_classification_profession_pro
zs_opt
[ -1.5093798637390137, 0.743865966796875, -0.8964707851409912, -0.5526453256607056, 0.12009061127901077, -0.10732274502515793, -0.3465574383735657, 0.7166559100151062, 1.1435279846191406, 0.3201834559440613, -0.7401694059371948, -0.1482027769088745, -0.29567939043045044, -0.34317857027053833...
You are given a sentence in English. Your job is to translate the English sentence into Spanish. Example Input: It's made — the chariot is made of gold. Example Output: Está hecho – el carro está hecho de oro. Example Input: But I'd like to describe to you a more subtle kind of diversity and tell you about the ants. ...
Dai Manju estaba en sexto grado cuando sus padres le dijeron "" Te vamos a sacar de la escuela porque los 13 dólares de la cuota escolar son mucho para nosotros.
3
NIv2
task1219_ted_translation_en_es
fs_opt
[ -0.3528636395931244, 0.49992799758911133, 0.14383253455162048, -0.19758856296539307, -0.3720775246620178, -1.2776966094970703, -0.5729193687438965, 1.2461113929748535, -0.17702847719192505, -0.22280575335025787, -0.007046366110444069, 0.23122024536132812, -0.40994930267333984, 0.0834236145...
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese. One example: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض Solution is here: 地球が今よりも無垢だった時代を訪れたかのようでした Explanation: The Arabic sentence is correctly translated into Japanese, because the meaning is preserved. Now, solve...
現代世界にあるテクノロジーを全て全てですよ刃物からスクレイパー、服までを削除しますと人類という種はそう長く生存できないでしょう
6
NIv2
task1231_ted_translation_ar_ja
fs_opt
[ -0.45158839225769043, 0.6445545554161072, -0.4414387047290802, -0.1951528936624527, -0.49913302063941956, -0.9598519206047058, 0.5676262378692627, -0.3343693017959595, 0.2352420687675476, 0.21585094928741455, -0.5600521564483643, 0.58467698097229, -0.344069242477417, 0.188646137714386, 0...
Q: Two analogies that relate actions to the tools used to perform the action is given in the form "A : B. C : ?". "A : B" relates action A to tool B. Your task is to replace the question mark (?) with the appropriate tool for the given action C, following the "A : B" relation. cook : stove. wash : ? A:
soap
7
NIv2
task1156_bard_analogical_reasoning_tools
zs_opt
[ 0.7452085614204407, 0.7204817533493042, -0.9482214450836182, 0.6575237512588501, -0.14094629883766174, -0.1201743632555008, 1.0357578992843628, 0.7791374921798706, -0.13384801149368286, 0.1257360577583313, 0.3493838608264923, -0.07782834768295288, 0.2493431568145752, -0.018830837681889534,...
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...
(Smijeh) I svaka žena je tako lijepa.
8
NIv2
task1365_opustedtalks_translation
fs_opt
[ -0.5801272392272949, 0.7225846648216248, -0.21147717535495758, 0.4652448892593384, 0.03664271533489227, -0.9001235961914062, 0.47578155994415283, -0.11977630108594894, -0.06448069959878922, -0.1550256460905075, -0.4509006142616272, 0.5808103084564209, -0.18263062834739685, 0.20612731575965...
Part 1. Definition In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if i...
No
7
NIv2
task066_timetravel_binary_consistency_classification
fs_opt
[ -0.24043941497802734, 0.14674030244350433, -0.17375123500823975, 0.33439552783966064, 0.1900714933872223, -0.060190945863723755, 0.19049909710884094, 1.044621467590332, 0.36388522386550903, -0.08596319705247879, -0.04149841517210007, -0.17897990345954895, -0.8713707327842712, -0.2740287780...
Detailed Instructions: In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer. See one example below: Problem: Context_1 : Charles Edward Ives ( ; Oc...
What type of music do both God Lives Underwater and Pavement bands perform?
4
NIv2
task191_hotpotqa_question_generation
fs_opt
[ 0.7281190156936646, 0.384581595659256, -0.8612578511238098, 1.008713722229004, 0.45640528202056885, -0.09439714252948761, 0.7722637057304382, 0.6022628545761108, 0.024979449808597565, 0.44193336367607117, -0.019364414736628532, 0.5868762731552124, -0.9114466905593872, 0.012291786260902882,...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi. One example is below. Q: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה. A: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند Rationale: The Hebrew...
گفتم ، "" از همه مهمتر ، بهش رسیدی ؟ "" (خنده) و آنها انجامش دادند.
9
NIv2
task1113_ted_translation_he_fa
fs_opt
[ -1.0576050281524658, 0.6195492148399353, 0.2539500892162323, 0.11389647424221039, -0.6250036954879761, -0.6646146178245544, 0.5407031178474426, 0.1583210676908493, 0.6322548389434814, 0.10210046917200089, -0.7227481603622437, 0.6553307771682739, -0.9459195733070374, -0.0843830481171608, ...
Definition: Given a text passage as input comprising of dialogue of negotiations between a seller and a buyer about the sale of an item, your task is to classify the item being sold into exactly one of these categories: 'housing', 'furniture', 'bike', 'phone', 'car', 'electronics'. The output should be the name of the ...
car
2
NIv2
task767_craigslist_bargains_classification
zs_opt
[ -0.2449507713317871, -0.5454868078231812, -0.45516371726989746, 0.4051050543785095, 0.4631304442882538, 0.34502512216567993, 0.008915463462471962, 0.5623620748519897, -0.13752418756484985, -0.044458240270614624, 0.02791430614888668, 0.14449003338813782, 0.16521087288856506, 0.3420214354991...
Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the auth...
yes
8
NIv2
task501_scruples_anecdotes_post_type_verification
fs_opt
[ 0.5615178346633911, 0.22085967659950256, 0.14983972907066345, 0.22549887001514435, -0.07233669608831406, -0.29353979229927063, 0.6513423919677734, 1.383191704750061, -0.4715754985809326, -0.3425852060317993, -0.01462973840534687, 0.050886452198028564, -0.11738565564155579, -0.1320732384920...
instruction: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish. question: Un uomo di nome Davide sali 'al trono, e Re Davide divenne una dei piu' grandi capi della sua generazione. answer: Człowiek o imieniu Dawid zasiadł na tronie, i król Dawid stał się jednym z wielkich pr...
Z tyłu lodówki mam rzeczy, które leżą tam od lat.
9
NIv2
task1253_ted_translation_it_pl
fs_opt
[ 0.01610783487558365, 0.44191300868988037, -0.6733121275901794, -0.9267404079437256, -1.1623058319091797, -0.9724946022033691, 1.2439148426055908, 0.6528445482254028, 0.04941175878047943, -0.5681027770042419, -0.5213164687156677, 0.48621508479118347, -1.3663246631622314, 0.5145808458328247,...
Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ha...
Yes
2
NIv2
task1215_atomic_classification_capableof
zs_opt
[ 0.3261954188346863, 0.3975940942764282, 0.6110899448394775, -0.36086505651474, -0.2391570508480072, -0.5495885610580444, 0.9489449262619019, 0.1396760493516922, 0.10045076906681061, -0.3495270013809204, -0.5121268630027771, -0.31739112734794617, -0.35678204894065857, 0.5357314348220825, ...
Given the task definition and input, reply with output. 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 th...
She was visited by a college recruiter.
5
NIv2
task270_csrg_counterfactual_context_generation
zs_opt
[ 0.04352017119526863, 0.24574196338653564, -0.06890453398227692, 0.008274904452264309, -0.10270947217941284, -1.2591009140014648, 0.4005826711654663, 1.14065420627594, 0.22891245782375336, -0.1600097119808197, -0.5222536325454712, -0.445772647857666, -0.5410654544830322, 0.05561645328998566...
Given the task definition, example input & output, solve the new input case. In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if...
yes
1
NIv2
task242_tweetqa_classification
fs_opt
[ 0.22462821006774902, 0.02647693082690239, 0.1533670276403427, -0.2922850251197815, 0.44604209065437317, -0.1901094913482666, 0.15096540749073029, 0.40967610478401184, -0.21506303548812866, 0.35043972730636597, 0.08575572818517685, 0.13342368602752686, -0.07405683398246765, -0.5749553442001...
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options. -------- Question: Jurgen Klopp arrived in E...
(F)
7
NIv2
task302_record_classification
fs_opt
[ 0.4426513910293579, 0.32652294635772705, -0.6068373918533325, -0.27147287130355835, 0.6431413292884827, 0.10882887244224548, 0.5292428731918335, 0.6650683283805847, -0.0673881471157074, 0.47015655040740967, -0.02450631745159626, 0.9859548807144165, -0.8973276615142822, 0.5866897106170654, ...
In this task, you are given a sentence in Persian, and your task is to translate it into English. One example is below. Q: جناب گرانت خیلی دلش می‌خواست روز یکشنبه بعد از آن همه خستگی روزانه بنشیند و بوقلمون را بخورد. A: because I know how much more Dr. Grant would enjoy it on Sunday after the fatigues of the day, Ratio...
When our turn comes we shall use field guns instead of half a dozen second hand carbines,
9
NIv2
task660_mizan_fa_en_translation
fs_opt
[ -1.2575095891952515, 0.5362907648086548, -0.3211754858493805, -0.2582108676433563, -0.7584249377250671, -1.0815716981887817, 0.9464287757873535, 0.12948614358901978, 0.39035576581954956, -0.3593330383300781, -0.6612780690193176, 0.9912006258964539, -0.7302709817886353, 0.5014814734458923, ...
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi. Y hace falta un gobierno fuerte para hacerlo porque no se puede respetar el derecho a la propiedad privada.
شما یک دولت قوی نیاز دارید تا این کار را انجام دهد ، زیرا شما نمیتوانید احترام به حقوق مالکیت خصوصی بگذارید.
5
NIv2
task1103_ted_translation_es_fa
zs_opt
[ -0.3803325295448303, 1.4360694885253906, 0.43893104791641235, -0.9147962927818298, -0.3009450435638428, 0.014033090323209763, 0.37985408306121826, 0.8429150581359863, 0.020566951483488083, -0.13025711476802826, -1.0445215702056885, 0.26857995986938477, -0.6092419624328613, -0.3206524252891...
Q: You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous. ...
joy
7
NIv2
task1662_cedr_ru_classification
zs_opt
[ -0.5546011328697205, -0.20431196689605713, -0.14768320322036743, -0.27213603258132935, -0.5207694172859192, -0.38713327050209045, 0.5088492631912231, 1.30726957321167, 0.23332259058952332, 0.1340881884098053, -0.6245931386947632, 0.09545641392469406, -0.04933012276887894, 0.354939997196197...
You will be given a definition of a task first, then some input of the task. 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". Brett gave Christopher money to buy some new jeans; then _ asked for more mo...
B
1
NIv2
task1391_winogrande_easy_answer_generation
zs_opt
[ 0.2566186189651489, 0.36481162905693054, -0.7092246413230896, 0.24983039498329163, 0.13793134689331055, -0.5323885679244995, 0.8014916181564331, 0.8408563137054443, 0.65234375, -0.3541835844516754, -0.0765373557806015, 0.12227540463209152, 0.6769754886627197, -0.20769070088863373, 0.0714...
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. Q: Text: Op basis van de beperkte hoeveelheid beschikbare gegevens voor dolutegravir als enkelvoudig middel gebruikt in combinatie met andere antiretrovirale middelen voor ...
French ****
4
NIv2
task447_opus_paracrawl_classification
fs_opt
[ 0.3843182921409607, 0.5081974267959595, 0.08057407289743423, -0.8493127226829529, -0.11870461702346802, -0.2701404094696045, -0.27921169996261597, 0.6716471910476685, 0.4299761652946472, -0.06444235891103745, 0.3729391098022461, 0.6306461095809937, -0.7114640474319458, -0.20799720287322998...
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic. Q: Es una pena. A:
هذا أمر مخزي.
9
NIv2
task1228_ted_translation_es_ar
zs_opt
[ -0.12876421213150024, 0.9076423645019531, -0.3127913773059845, -1.0172245502471924, -0.35248932242393494, -0.19802625477313995, 0.757252037525177, 0.8865659236907959, 0.7384337186813354, 0.2138320356607437, -0.3194512724876404, 0.22604098916053772, -0.3819422125816345, 0.4459749460220337, ...
You are given a sentence in English. Your job is to translate the English sentence into Galician. Example: Now, it's next door, or in my house. Example solution: Agora, está ao lado, ou na miña casa. Example explanation: The English sentence is correctly translated into Galician, because the meaning is preserved. Prob...
Solution: Este é o rasgo que une aves e dinosauros.
5
NIv2
task1090_ted_translation_en_gl
fs_opt
[ -0.3841402232646942, 0.9171333312988281, -0.0521765798330307, -0.5744307637214661, -0.35972321033477783, -1.1014481782913208, 0.46439579129219055, 0.6349945664405823, 0.00740538164973259, -0.030331259593367577, -0.14883209764957428, 0.38526827096939087, -1.2859439849853516, 0.3197837173938...
Given a sentence in Russian, generate a new Russian 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...
Опыт - это название, которое мы даём своим ошибкам.
0
NIv2
task410_mickey_ru_sentence_perturbation_generation
fs_opt
[ 0.3548019826412201, 0.40520358085632324, -0.6395943760871887, -0.3855990171432495, -0.5704871416091919, -0.8126503825187683, 0.9975874423980713, 1.0511438846588135, -0.22922569513320923, -0.16088397800922394, -0.9184464812278748, -0.26948243379592896, 0.19090962409973145, 0.505099654197692...
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia...
REFERENCE phrase
1
NIv2
task304_numeric_fused_head_resolution
fs_opt
[ -0.02900240756571293, 0.4475746154785156, -0.5518529415130615, 0.20979659259319305, 0.18477727472782135, -0.6320211887359619, 1.3990585803985596, 0.564341127872467, -0.26828956604003906, -0.006083583924919367, -0.22621512413024902, 0.08011539280414581, -0.3204313814640045, -0.0111192278563...
Part 1. Definition Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop word...
Weather
7
NIv2
task039_qasc_find_overlapping_words
fs_opt
[ -0.6309973001480103, 0.8591884970664978, 0.18229928612709045, -0.5524234175682068, -0.08282791823148727, -0.7486163377761841, 0.4441187381744385, 0.37556692957878113, -0.2603021562099457, -0.5197762846946716, -1.1636896133422852, -0.04031657427549362, -0.3589842915534973, -0.04323669523000...
A text is given in English. Translate it from the English language to the Tamil language. The translation must not omit or add information to the original sentence. In our country Lord Ganesh is revered as an embodiment of wisdom, prosperity and good fortune. நமது நாட்டில், விநாயகர் ஞானம், செழிப்பு, அதிர்ஷ்டம் ஆகியவற்...
அதனை அடுத்து தாய்லாந்தின் எல்லைப்பகுதி நகரமான மோர்ச்க்கு அந்நாட்டு வர்த்தகத்துறை அமைச்சர் திரு. தரடோல் தாங்கருவாங் – ஆல் கொடியசைத்து அனுப்பி வைக்கப்பட்டது.
0
NIv2
task991_pib_translation_english_tamil
fs_opt
[ -0.3320995569229126, 0.13819649815559387, 0.3034977316856384, -0.6083129644393921, -0.06570252776145935, -0.7773956060409546, 0.34252646565437317, 0.28621986508369446, -0.03528117388486862, 0.25802159309387207, -0.7056126594543457, -0.0018676852341741323, -0.9392882585525513, 0.45968270301...
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive. Comment: Notice how no one is talking about how cozy Trump is with Russians? Trump's a master...
Non-insult
0
NIv2
task328_jigsaw_classification_insult
zs_opt
[ -0.476159930229187, 0.7600962519645691, 0.6920740604400635, 0.4450925290584564, -0.03947135806083679, 0.22360382974147797, 0.7855932116508484, 0.8501454591751099, 0.038574956357479095, 0.4754267632961273, 0.14144352078437805, -0.32923418283462524, -0.5516538619995117, -0.5499362945556641, ...
Detailed Instructions: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False". Q: Although this is marketed as a coconut product, it really isn't. People seem to be having success baking with this. Now,...
False
9
NIv2
task590_amazonfood_summary_correction_classification
zs_opt
[ 0.1890774667263031, 0.38016393780708313, 0.2543409764766693, -0.5650801658630371, -0.10926109552383423, -0.1807660162448883, 0.5041812062263489, 0.8262150287628174, -0.650473952293396, 0.00080534303560853, 0.03428423032164574, 0.11534147709608078, -0.14353744685649872, -0.00701208738610148...
Instructions: In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number...
[163, 37]
3
NIv2
task205_remove_even_elements
zs_opt
[ -0.378130167722702, 0.6143954992294312, -0.27847951650619507, -0.8460862636566162, 0.27624034881591797, -0.06589868664741516, 0.8730465769767761, 0.30543068051338196, -0.6208950281143188, 0.336230993270874, -1.1308643817901611, 0.22603775560855865, -0.12781977653503418, -0.5120722055435181...
This task is about translating a given English language sentence to Yoruba language. One example is below. Q: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course. A: Bí ó ti jẹ́ wí pé o kò leè fún ẹnikẹ́ni nímọ̀ràn ajẹmófin...
Ojú ní ń kán ọkọlóbìnrin; àlè méjì á jà dandan.
9
NIv2
task1685_menyo20k_translation
fs_opt
[ -0.23780763149261475, 0.7939267754554749, 0.35455501079559326, -0.5343804359436035, -0.14951391518115997, -0.017850590869784355, 0.23630312085151672, 0.6195526123046875, 0.043974362313747406, -1.2560031414031982, -0.026798471808433533, 0.4766690731048584, -1.30891752243042, 0.3853463530540...
You are given a sentence from a conversation between a human and a virtual assistant. Your task is to classify the sentence into one of the following five action categories - INFORM, INFORM_INTENT, OFFER, REQUEST, REQUEST_ALTS. If the sentence is about informing something, generate 'INFORM'. If it is about requesting s...
INFORM
6
NIv2
task880_schema_guided_dstc8_classification
fs_opt
[ 0.07022090256214142, 0.037011317908763885, 0.19839653372764587, 0.6678385734558105, 0.2540309727191925, 0.12769564986228943, -0.27713459730148315, 0.5270144939422607, 0.20641210675239563, 0.23140114545822144, -0.5003750324249268, -0.1257840245962143, -0.325462281703949, 0.03550305217504501...
Detailed Instructions: In this task, you are given a sentence in Arabic, and your task is to translate it into English. Problem:والآن نجهل كليًا ما نجابهه، لأن لا كيانًا مثلها وطأ الأرض منذ ألف سنة. وما لم نزد قوة، فقد قُضي علينا. Solution:
Now, we have no idea what it is that we're up against, because nothing like this has been around in a thousand years and if we don't get stronger, then we're done for.
8
NIv2
task650_opus100_ar_en_translation
zs_opt
[ 0.4435769319534302, 1.7485705614089966, 0.11180154979228973, -0.9810323119163513, -0.2449622005224228, -0.9060739278793335, 0.8579394817352295, 0.5117096900939941, 0.5605523586273193, 0.4378660321235657, -0.795357346534729, -0.27745160460472107, -1.394690752029419, 0.18322379887104034, 0...
Detailed Instructions: In this task, you need to count the number of words in a sentence that contain the given letter Problem:Sentence: 'a man in a white turban drives a motorcycle along a dirty road'. How many words contain the letter 'd' in the sentence. Solution:
3
8
NIv2
task161_count_words_containing_letter
zs_opt
[ 0.12057338654994965, 0.6997174024581909, -0.6157501339912415, -1.0719046592712402, -0.4047293961048126, 0.7066479921340942, 0.042730748653411865, 0.5372128486633301, 0.17829248309135437, 0.002231843303889036, -1.0677928924560547, -0.5868580341339111, 0.2263323813676834, -0.744343638420105,...
TASK DEFINITION: In this task, you are given dvd 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. PROBLEM: AUWEIA! . Oh ja, dieser Film ist ein weiteres Beispiel, wie in Hong...
POS
8
NIv2
task480_cls_german_dvd_classification
fs_opt
[ -0.03483763337135315, 0.06738770008087158, -0.7466954588890076, -0.44160306453704834, 0.3209395110607147, 0.6767455339431763, 1.0476114749908447, 0.5782553553581238, -0.09853453934192657, 0.3685458302497864, 0.11278881132602692, -0.13806450366973877, -0.4386146664619446, -0.213469922542572...
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female). -------- Question: Betsy made me feel depressed. Answer: female Question: Tia made me feel relieved. Answer: female Question: Alonzo feel...
male
7
NIv2
task1336_peixian_equity_evaluation_corpus_gender_classifier
fs_opt
[ -0.3619810938835144, 0.19445495307445526, -0.3677406311035156, -0.7345551252365112, -0.11372409015893936, -0.624748170375824, 0.837766170501709, 0.026901552453637123, 0.9454373121261597, 0.35354161262512207, -0.9105151891708374, -0.0033622412011027336, -0.24450157582759857, 0.0648852735757...
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...
granuloma
1
NIv2
task471_haspart_answer_generation
fs_opt
[ -0.8051660060882568, 0.25130152702331543, -0.28760769963264465, 0.22241008281707764, -0.6321964859962463, -0.3190120458602905, -0.4000316858291626, 0.3616255521774292, 0.8380743265151978, -0.5572569370269775, -0.5147592425346375, 0.6523505449295044, -0.3510599136352539, -0.0677623301744461...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish. אנחנו לבסוף נתמזג עם הטכנולוגיה הזאת. זה כבר די קרוב אלינו. Finalmente nos fusionaremos con esta tecnología. Ya se encuentra muy cerca de nosotros. 2008 ו-2009 היו קצת יותר קשות. El 2008 y 2009 fueron un poco más duros. דמ...
Imaginen si tuvieran condones para darle a todo tipo de personas.
0
NIv2
task1236_ted_translation_he_es
fs_opt
[ -1.3601893186569214, 0.8047164678573608, -0.020034199580550194, 0.10305608808994293, -0.9719589948654175, -0.4406362473964691, 0.3163685202598572, 0.9162790179252625, 0.5038623213768005, -0.20614704489707947, -0.6491764187812805, 0.7476391792297363, -0.18858283758163452, 0.2028195559978485...
Instructions: In this task, you need to answer the given multiple-choice question on the physics. Classify your answers into 'a', 'b', 'c', 'd', and 'e'. Input: Problem: a goods train runs at the speed of 72 kmph and crosses a 270 m long platform in 26 seconds . what is the length of the goods train ? Options: a ) 230...
b
3
NIv2
task1422_mathqa_physics
zs_opt
[ -0.414164662361145, 0.13858169317245483, -0.09738154709339142, -0.3975629210472107, -0.4339672327041626, -0.04616202414035797, -0.34058043360710144, 0.4556717872619629, -0.3989865481853485, -0.4088246524333954, -0.8181341886520386, 0.11829981952905655, 0.03567180782556534, -0.2263304442167...
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the top...
non-political
9
NIv2
task1491_bengali_political_hate_speech_binary_classification
fs_opt
[ -0.24611368775367737, -0.27685999870300293, 0.4526608884334564, 0.47480854392051697, -0.28735536336898804, -0.5702281594276428, 0.12005267292261124, 0.36654412746429443, -0.2437281310558319, 0.0991910770535469, -0.8279579877853394, -0.4152546525001526, 0.09530231356620789, -0.4266540408134...
Definition: The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided. Input: name[xname], recommend[yes], cuisine[Chinese], decor[terrible], qual[acceptable], location[Chinatown], price[affordable], servic...
Because xname is affordable and a Chinese restaurant and xname provides rude service and bad ambiance. xname is in Chinatown. It offers decent food, I suspect you would like it.
2
NIv2
task1598_nyc_long_text_generation
zs_opt
[ -0.7999250292778015, 0.5970684289932251, -0.4268910884857178, -0.14076775312423706, -0.14042556285858154, 0.057947322726249695, 0.3188211917877197, 0.352298766374588, 0.015291203744709492, -0.06819426268339157, 0.09140253067016602, -0.3212662935256958, -0.22241589426994324, 0.3952091038227...
Detailed Instructions: 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 be considered changed. Label the instances as "Original...
Changed
9
NIv2
task515_senteval_odd_word_out
zs_opt
[ -0.07328350096940994, 1.2164510488510132, -0.2373935580253601, -0.4248729944229126, -0.3815939426422119, -0.8578623533248901, 0.4861668348312378, 1.005556583404541, 0.014174161478877068, -0.05786615610122681, -0.526525616645813, -0.6581918001174927, -0.7724127173423767, -0.1936495006084442...
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering ab...
Extractive
4
NIv2
task462_qasper_classification
zs_opt
[ -1.2782212495803833, -0.02822079136967659, 0.33916887640953064, 1.1734262704849243, -0.12889793515205383, -0.46329766511917114, 0.5845663547515869, 0.43603700399398804, 0.1712033897638321, 0.6422522068023682, -0.20548281073570251, -0.11373966932296753, -0.9015993475914001, 0.52209818363189...
Q: Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of t...
yes
7
NIv2
task361_spolin_yesand_prompt_response_classification
zs_opt
[ 0.4067511558532715, 0.31538525223731995, 0.5314028263092041, -0.41032254695892334, -0.13884156942367554, -1.121907114982605, 0.372151255607605, 0.8914632797241211, 0.2289860099554062, -0.2266782522201538, -0.25666022300720215, -0.2828771471977234, -0.6835095286369324, 0.3746187388896942, ...
Q: You are given a statement written in Malayalam. 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: 1909ലാണ് ഇന്ത്യയിൽ സ്കൌട്ട് പ്രസ്ഥാനം തുടങ്ങിയത്. ക്യാപ്ടൻ ടി.എച്ച്. ബേക്കർ <MASK> രാജ്യത്തെ ആദ്യ ...
ബാംഗ്ലൂരിൽ
7
NIv2
task949_wiki_cloze_ml_multiple_choice_question_answering
zs_opt
[ -0.11783352494239807, 0.8627139329910278, -0.4945885241031647, -0.5020200610160828, 0.275222510099411, -0.8217473030090332, -0.5155943632125854, 0.44885939359664917, 0.06156899034976959, 0.09502748399972916, -0.05400567501783371, -0.10381519049406052, -0.4243386685848236, -0.29404354095458...
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi. Teacher: Now, understand the problem? Solve this instance: Primeiro, temos a promesa dos datos masivos ou de tamaño medio de axudarnos a entender as interaccións entre medicamentos e, fundamentalmente, as súas acció...
خوب ، اول از همه ، ما هم اکنون چشم انداز داده ‌ های بزرگ و داده ‌ های متوسط رو داریم برای کمک به فهم تداخلات دارویی و یه واقعیت اساسی ، اثر داروها.
6
NIv2
task1245_ted_translation_gl_fa
zs_opt
[ -0.3681187927722931, 0.1892503798007965, -0.30017223954200745, -1.5055625438690186, -0.3989282548427582, -0.8762407302856445, 0.9008996486663818, 0.6943410634994507, -0.23855607211589813, 0.35703420639038086, -0.7750415205955505, 0.31664589047431946, -0.6681536436080933, 0.1187041848897934...
This task is about identifying the subject of a given sentence. The subject of a sentence is the person, place, or thing that is performing the action of the sentence. The subject represents what or whom the sentence is about. Each sentence in this task is guaranteed to contain a single subject. The input is a sentence...
Datsun Twin 200
4
NIv2
task1411_dart_subject_identification
zs_opt
[ -0.7532382011413574, 0.14015427231788635, 0.1146727055311203, -0.20712175965309143, -0.2840351462364197, -0.21315456926822662, 0.4513881206512451, 0.44122663140296936, 0.3644052743911743, 0.24931474030017853, -1.5414516925811768, 0.07476437091827393, -0.7836461067199707, 0.354574978351593,...
TASK DEFINITION: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words. PROBLEM: Be careful about using this in any sort of heat I used mine outside one day and about 15 min in the thing had warped and it no longer holds the iPad. Surprising considering it really wa...
lasted 2 years and three months for thirty dollars.
8
NIv2
task1342_amazon_us_reviews_title
fs_opt
[ 0.31024831533432007, 0.44521966576576233, -0.43229061365127563, -0.2544173002243042, -0.32664114236831665, 0.06190867722034454, 0.847744345664978, 0.3486798405647278, -0.3555911183357239, 0.16751191020011902, 0.17835527658462524, 0.24933643639087677, -0.6936074495315552, -0.144280016422271...
In this task, we have Spanish and Catalan tweets for automatic stance detection. The data has three labels Against, Favor, and Neutral which express the stance towards the target -independence of Catalonia. If the tweet criticizes the independence of Catalonia then it's 'Against' and if the tweets support it then it wi...
Against
4
NIv2
task1646_dataset_card_for_catalonia_independence_corpus_text_classification
zs_opt
[ -0.39557135105133057, 0.4401666522026062, 0.1832619458436966, 0.20122572779655457, -0.33066922426223755, -1.064241647720337, -0.09478501975536346, 0.7386776208877563, 0.35122084617614746, 0.6497357487678528, -0.6020982265472412, 0.05000054091215134, -0.13959985971450806, -0.483571648597717...
Q: You are given a sentence in English. Your job is to translate the English sentence into Polish. And we rounded the corner and saw the most amazing sight: thousands and thousands of pink flamingos, a literal pink carpet for as far as you could see. A:
Skręciliśmy i naszym oczom ukazał się niezwykły widok: tysiące, tysiące różowych flamingów. Dosłownie — różowy dywan, jak daleko wzrok sięgał.
7
NIv2
task1092_ted_translation_en_pl
zs_opt
[ -0.9233294129371643, 1.3352067470550537, 0.18045486509799957, -0.023466426879167557, -0.8123360872268677, -1.136273980140686, -0.0714142918586731, -0.6190947890281677, 0.031137993559241295, 0.5206977128982544, -0.0941576138138771, 0.4583272337913513, -0.18826529383659363, 0.728314042091369...
A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence. One example is below. Q: نئی دہلی،13۔اپریل ۔ صدر جمہوریہ جناب پرنب مکھرجی نے راشٹرپتی بھون میں منعقد ایک تقریبِ تقسیم اعزازات میں پدم وبھوشن ، پدم بھوشن ا...
નેશનલ મોબિલિટી કાર્ડ (એનસીએમસી) ધારાધોરણોને આધારે પરિવહન માટે ભારતની પ્રથમ સ્વદેશી વિકસિત પેમેન્ટ ઇકોસિસ્ટમ માર્ચ, 201માં લોંચ કરવામાં આવી હતી.
9
NIv2
task1002_pib_translation_urdu_gujarati
fs_opt
[ -0.14740747213363647, 0.45137864351272583, -0.2707517147064209, -0.28007882833480835, -0.44002026319503784, -0.5070761442184448, 0.2514108717441559, 0.09122686088085175, -0.12290513515472412, -0.5034714937210083, -0.6521906852722168, 0.30326077342033386, 0.03143154829740524, 0.399218320846...
Teacher:In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this ...
DT
6
NIv2
task347_hybridqa_incorrect_answer_generation
zs_opt
[ 0.5379045605659485, 0.4318392276763916, -0.9278644919395447, 0.7456396818161011, 0.4548819363117218, -1.1517653465270996, 0.9346202611923218, 0.35264015197753906, -0.4037514626979828, -0.4933983385562897, -0.24564650654792786, 0.8462955355644226, -0.17366346716880798, -0.20470038056373596,...
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 two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No". Sentence1: While it was being called mandatory , Dupont ...
Yes
0
NIv2
task1288_glue_mrpc_paraphrasing
fs_opt
[ -0.16381585597991943, 0.8517763614654541, -0.05244031921029091, 0.26740241050720215, 0.011521222069859505, -0.9110053181648254, 0.9082769155502319, 0.8282344341278076, -0.2055404782295227, 0.09174419939517975, -0.16990253329277039, -0.4047045111656189, -0.43958091735839844, -0.177820801734...
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into English. Problem:Porque, literalmente, se a agricultura non se adapta ao cambio climático, tampouco o habemos facer nós. Solution:
Because, quite literally, if agriculture doesn't adapt to climate change, neither will we.
8
NIv2
task1238_ted_translation_gl_en
zs_opt
[ -0.9623203277587891, 1.360764503479004, 0.30776268243789673, -0.28135979175567627, -0.6872987151145935, -2.0445642471313477, -0.6154181957244873, 0.9584684371948242, -0.5889522433280945, 0.39166000485420227, -0.6438049674034119, -0.3146268427371979, -1.0361229181289673, 0.16520771384239197...
Detailed Instructions: Given a scientific question, generate a correct answer to it. See one example below: Problem: Who proposed the theory of evolution by natural selection? Solution: darwin Explanation: This is a direct fact that Charles Darwin proposed the theory of evolution. Problem: If humans were to artificial...
infertile
4
NIv2
task591_sciq_answer_generation
fs_opt
[ -0.396201491355896, 0.1179390624165535, 0.23589599132537842, 0.06844642758369446, -0.444205105304718, -0.128146231174469, -0.20033100247383118, -0.13920295238494873, -0.11477015912532806, 0.06822070479393005, -0.38291382789611816, -0.03113013505935669, -1.1759626865386963, -0.0321181602776...
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician. (موسيقى) لهذه المتعة وهذا السحر ، ابتهج الناس.
(Música) Para a súa gran satisfacción á xente encantoulle.
0
NIv2
task1105_ted_translation_ar_gl
zs_opt
[ -0.302706778049469, 1.129056453704834, -0.4092896580696106, -1.1487387418746948, -0.2521355152130127, -0.028888709843158722, 1.2177613973617554, -0.03667799383401871, 0.11411155760288239, -0.6755927801132202, -0.6770739555358887, 0.04111059010028839, -0.7947390079498291, 0.1473425626754760...
Definition: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse th...
qN
2
NIv2
task267_concatenate_and_reverse_all_elements_from_index_i_to_j
zs_opt
[ -0.36266446113586426, 0.4557745158672333, -0.4678296744823456, -0.4886671006679535, 0.1355326920747757, 0.47764864563941956, 0.45244842767715454, 0.2512771785259247, -0.2721625864505768, -0.0061736758798360825, -0.8689585328102112, 0.02596944198012352, 0.27880725264549255, -0.0260312967002...
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 your answer, use as few ...
He walks around with a pack of cigarettes.
1
NIv2
task024_cosmosqa_answer_generation
fs_opt
[ 0.02642964944243431, 0.7472202777862549, 0.13103199005126953, 0.33435821533203125, -0.3093611001968384, -0.48903751373291016, 0.22357133030891418, 0.5511829853057861, 0.22158634662628174, 0.3983337879180908, -0.16483920812606812, -0.025600256398320198, -0.38403838872909546, -0.060318507254...
Q: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write ...
acceptable
7
NIv2
task616_cola_classification
zs_opt
[ -0.8992947936058044, 0.7013201713562012, 0.7020963430404663, -0.2987637519836426, -0.07319634407758713, -1.5654137134552002, -0.1105157658457756, 0.19140690565109253, 0.667162299156189, 0.0514756478369236, -0.6257283687591553, 0.21361054480075836, -0.2568330764770508, -0.18724575638771057,...
instruction: In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no". question: Bulgarian: Според мен ние представяме достоен и приемлив компромис между еколо...
yes
9
NIv2
task273_europarl_classification
fs_opt
[ -0.4932796359062195, 0.1448875516653061, 0.24768029153347015, -0.03771517425775528, 0.02225814387202263, -0.7593742609024048, -0.26959484815597534, 1.1806540489196777, 0.048401638865470886, 0.6148483753204346, -0.0056217326782643795, 0.933290421962738, -0.36799073219299316, 0.2145772129297...
In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keepin...
True
0
NIv2
task1589_scifact_classification
zs_opt
[ 0.6208600997924805, 0.42570802569389343, -0.7785338163375854, 0.024866528809070587, 0.9845154881477356, -0.8067936301231384, 0.6000474691390991, 0.9245585203170776, 0.1816255748271942, 0.6185804605484009, -0.3151312470436096, 0.6631989479064941, -0.5004817247390747, 0.51044762134552, -0....
Part 1. Definition You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician. Part 2. Example 処方箋を支払う為の保険は ? Answer: Terán seguro para pagar a receita? Explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserved. Part 3. Exercise ( ...
(Aplausos) Grazas. Moitísimas grazas. Grazas.
7
NIv2
task1095_ted_translation_ja_gl
fs_opt
[ -0.45105981826782227, 0.5732094049453735, 0.414219468832016, -0.9364323616027832, -0.16373610496520996, -0.7665321230888367, 1.2036659717559814, -0.03645484149456024, 0.1285119652748108, -0.8396819829940796, -0.6355204582214355, 0.6830736994743347, -0.9063852429389954, 0.5598927736282349, ...
Given a pair of words, deduce the type of relationship between them. The various types of relations are: 'HYPER', 'COORD' and 'RANDOM'. Let's denote the first word by X and the second word by Y. A COORD relationship holds when X and Y belong to the same semantic class. A HYPER relationship applies when X is a specific ...
RANDOM
3
NIv2
task1505_root09_semantic_relation_classification
fs_opt
[ -0.21443967521190643, 0.1879904866218567, 0.03200744837522507, -0.025525707751512527, -0.33595776557922363, -0.15496975183486938, 0.26365506649017334, 0.5511131882667542, 0.2252228856086731, -0.3715440332889557, -1.0137150287628174, -0.18986192345619202, -0.6069669723510742, 0.170106023550...
Teacher:In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A. Teacher: Now, understand the problem? Solve this instance: 5, ['2567', '7465', 'B', '7999', 'j', '1657', '83...
1657, 8369, M, K, 4155, 9357, Z, 5843, Z, A, H, Z, 4901, 7685
6
NIv2
task064_all_elements_except_first_i
zs_opt
[ 0.2809864282608032, 0.26679614186286926, -0.3297894299030304, -0.593434751033783, -0.556772768497467, -0.1743936538696289, 0.07755865901708603, 0.448301762342453, -0.26254141330718994, -0.026202883571386337, -0.7195512652397156, -0.8360435962677002, 0.1815211921930313, 0.05727088451385498,...
Q: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story...
I turn >Causes/Enables> I turn back
7
NIv2
task748_glucose_reverse_cause_event_detection
zs_opt
[ 0.3251301646232605, 0.8489522337913513, 0.3642704486846924, -0.00924275815486908, -0.12622085213661194, -0.7590080499649048, 0.3565106987953186, 1.2767333984375, 0.28841426968574524, -0.18720659613609314, -0.3401937782764435, 0.06778669357299805, -0.7683510780334473, 0.31401336193084717, ...
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name). Q: We do need to obtain, from the Commission and the Council, in other words from each of the governments form...
Reanudación del período de sesiones ****
4
NIv2
task530_europarl_en_es_translation
fs_opt
[ 0.5593802332878113, -0.09536249935626984, -0.4414350986480713, 0.11835956573486328, 0.3121701180934906, -0.38009709119796753, 0.8326055407524109, 1.1854970455169678, 0.06375600397586823, 0.3099413514137268, 0.14209134876728058, 0.2107217013835907, -0.43723785877227783, 0.5059013366699219, ...
In this task, you are given a sentence in the English language and your task is to convert it into the Japanese language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). Q: In the "2008 Taipei City New Year Countdown Party", several local and ...
AKPはトルコ大国民議会の550議席中353議席を獲得している。 ****
4
NIv2
task435_alt_en_ja_translation
fs_opt
[ -0.0651504248380661, -0.015963179990649223, -0.012210539542138577, -0.03764716535806656, 0.38677719235420227, -0.39001160860061646, 0.8472471237182617, 0.30256617069244385, 0.01442318968474865, 0.5195916891098022, -0.0999319925904274, 0.40165913105010986, -1.0477535724639893, 0.44433188438...
instruction: 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. question: Person1: Who got ripped off ? Person2: B...
0
9
NIv2
task1536_daily_dialog_happiness_classification
fs_opt
[ -0.15249603986740112, 0.2855936586856842, -0.05102715641260147, -0.24550460278987885, -0.05619634687900543, -0.3980817496776581, 0.8628588914871216, 0.44332218170166016, 0.041116081178188324, 0.005976714659482241, -0.5421729683876038, -0.0839415043592453, -0.3245646357536316, -0.4640918076...
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...
Solution: Val followed and asked her if she was okay to make sure she wasn't sick.
5
NIv2
task270_csrg_counterfactual_context_generation
fs_opt
[ 0.8399545550346375, 0.27481287717819214, -0.2117396593093872, 0.364660382270813, 0.09409230947494507, -0.8646327257156372, 0.36766859889030457, 0.7991012334823608, -0.14571404457092285, -0.34480613470077515, -0.7754101753234863, -0.460945725440979, -0.18640929460525513, 0.05159717798233032...
Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a pref...
No
3
NIv2
task1439_doqa_cooking_isanswerable
fs_opt
[ 0.14876529574394226, -0.05208645015954971, -0.5667508840560913, 0.07467323541641235, 0.28135254979133606, -0.7435796856880188, 0.360848069190979, 1.1977050304412842, -0.7755692005157471, -0.3216779828071594, 0.5790363550186157, 0.5489956736564636, -0.6462022066116333, 0.6943848133087158, ...
Teacher:In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifia...
Unidentifiable
6
NIv2
task350_winomt_classification_gender_identifiability_pro
zs_opt
[ -1.5274198055267334, -0.027660012245178223, 0.4759310483932495, -0.4246930778026581, -0.10124807804822922, 0.049441318958997726, -0.5212241411209106, 0.8455142974853516, 0.5255911350250244, 0.15517008304595947, -0.8792006969451904, -0.14977379143238068, 0.3561962842941284, -0.5127999782562...
Teacher: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English. Teacher: Now, understand the problem? If you are still confused, see the following example: Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um plane...
You think that's not an issue going forward?
2
NIv2
task1274_ted_translation_pt_en
fs_opt
[ 0.08244898915290833, 0.21131867170333862, 0.3101505637168884, -0.7884038686752319, -0.08181972056627274, -1.013675332069397, -0.3068804144859314, 0.43303829431533813, 0.5334461331367493, -0.21736645698547363, -0.07367289066314697, 0.28391212224960327, -0.48954397439956665, -0.1708867847919...
Teacher:In this task, you're given a context passage, a question, and three answer options. Your task is to return an incorrect answer option to the question from the choices given. For all questions, only one of the three answer options is correct. Pick one of the two incorrect answer options as the output. Teacher: N...
B
6
NIv2
task385_socialiqa_incorrect_answer_generation
zs_opt
[ 0.35463160276412964, 0.6181820631027222, -0.023325497284531593, 0.3490613102912903, -0.03826572000980377, -0.0027702145744115114, 0.26727962493896484, 0.4276471734046936, -0.2193634808063507, 0.11392627656459808, -0.7006385922431946, -0.10880126059055328, -0.16202682256698608, -0.634861707...
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi. Q: Lo que hacemos, sin embargo, es enviarlos al mundo, y me incluyo, con el mandato de ser perfectos. A:
البته کاری که ما میکنیم این است که تک تک آنها ، از جمله خود من را میفرستیم به اجتماع با یک راهنمایی ، کامل باش
9
NIv2
task1103_ted_translation_es_fa
zs_opt
[ -0.61710125207901, 1.1479772329330444, 0.2023315131664276, 0.32790622115135193, -0.004604527726769447, -0.6436831951141357, -0.09129273891448975, 0.7065041065216064, -0.14653417468070984, 0.15322864055633545, -0.9054841995239258, 0.05711556598544121, -0.6056424975395203, 0.5372805595397949...
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...
RP
6
NIv2
task584_udeps_eng_fine_pos_tagging
fs_opt
[ 0.04628395289182663, 0.1263381838798523, 0.019560109823942184, 0.33697786927223206, -0.11266522109508514, -0.5610560774803162, 0.596686601638794, 1.0954082012176514, -0.6204861998558044, -0.31769394874572754, 0.02151400037109852, 0.13423725962638855, -0.32489657402038574, 0.061787016689777...
Instructions: In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements ...
No
3
NIv2
task245_check_presence_in_set_intersection
zs_opt
[ 0.3398151993751526, 0.03703960031270981, -0.2982989549636841, -0.10810087621212006, -0.4515516757965088, -0.560196578502655, 0.8726211786270142, 0.510779857635498, 0.026400074362754822, -0.14575019478797913, -0.41937240958213806, 0.2489764392375946, -0.20362964272499084, -0.203702181577682...
Given the task definition and input, reply with output. In this task, you will be given a list of integers. You should remove all of the odd integers from the list(consider 0 an even number). If every integer in the input list is odd then an empty list ("[]") should be returned. Otherwise, answer with the list of even ...
[-52, 58]
5
NIv2
task369_synthetic_remove_odds
zs_opt
[ -0.8537938594818115, 0.7656859159469604, 0.20170646905899048, -0.6524957418441772, 0.2671247124671936, -0.4558391273021698, 1.0578194856643677, -0.07339198887348175, 0.1407189667224884, 0.09053108096122742, -0.7907570600509644, -0.2999816834926605, -0.37916475534439087, -0.1263845711946487...
Given the task definition, example input & output, solve the new input case. Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists o...
He falls to the floor. He is shaking and crying for help. He gets help and sent to a hospital.
1
NIv2
task269_csrg_counterfactual_story_generation
fs_opt
[ 0.5573583841323853, 0.32823729515075684, -0.006853737868368626, 0.47001221776008606, 0.429349809885025, -0.6001994609832764, 0.009027406573295593, 1.1931335926055908, -0.08548663556575775, -0.014724778942763805, -0.2149638533592224, -0.24234458804130554, 0.05544799566268921, 0.061027452349...
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ...
No
0
NIv2
task1211_atomic_classification_hassubevent
zs_opt
[ 0.2370949536561966, 0.1724635809659958, 0.35073399543762207, -0.07934193313121796, -0.5483014583587646, -0.7166124582290649, 1.3032000064849854, 0.4370170533657074, -0.6071597337722778, -0.34326064586639404, -0.7587106227874756, -0.34013327956199646, -0.7531905174255371, 0.3663330376148224...
Teacher: In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options. Teacher: Now, understand the problem? If you are still confused, see the following example: Text: The Mansf...
1
2
NIv2
task633_dbpedia_14_answer_generation
fs_opt
[ -0.12410488724708557, 0.7156594395637512, 0.7446253895759583, -0.8755970001220703, -0.1145392656326294, -0.020171185955405235, -0.6132550239562988, 0.2689506411552429, -0.8206758499145508, -0.1674571931362152, 0.044534120708703995, -0.4313003420829773, 0.026351604610681534, 0.0256849005818...
Detailed Instructions: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question. See one example below: Problem: What can one do after MBBS? Solution: What do i do after my MBBS ? Explanation: In this example both the...
What are some good patterns from the past that tell us that countries are likely to engage in a war?
4
NIv2
task1345_glue_qqp_question_paraprashing
fs_opt
[ 0.02466198429465294, 0.1727047562599182, -0.4534178376197815, 0.14860263466835022, -0.25602877140045166, 0.26507049798965454, 0.6299750804901123, -0.20054173469543457, 0.27205532789230347, 0.47464680671691895, -0.5364285707473755, 0.45547690987586975, -0.09611282497644424, 0.25618505477905...
Given the task definition and input, reply with output. In this task, you're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story. Sentence 1...
Changing Oil
5
NIv2
task219_rocstories_title_answer_generation
zs_opt
[ -0.3628894090652466, 0.6761183738708496, 0.5350407361984253, -0.25813180208206177, 0.16601654887199402, -0.5222008228302002, 0.0653853639960289, 0.5903835296630859, -0.29830628633499146, 0.22502484917640686, -0.7388098835945129, -0.06369931995868683, -0.8491437435150146, 0.0518095642328262...
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None Input: Consider Input: Event:PersonX achieves PersonY end...
Output: loved
2
NIv2
task924_event2mind_word_generation
fs_opt
[ 0.0827464908361435, 0.2909679710865021, 0.010888146236538887, -0.5008242130279541, -0.6029923558235168, -0.6336991786956787, 1.1901705265045166, 0.2542783319950104, 0.3644491136074066, -0.4992072582244873, 0.25866591930389404, 0.03828749433159828, -0.473289430141449, 0.21730118989944458, ...
In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is potentially offensive to anyone (i.e., a subset of people, any particular person, etc.), 2) no, otherwise. Note that potentially offensive posts can contain sexual, racia...
Yes
0
NIv2
task609_sbic_potentially_offense_binary_classification
zs_opt
[ -1.1066243648529053, -0.004125438630580902, 0.5563347339630127, 0.5431166887283325, 0.14599332213401794, -0.4902746379375458, 0.07139332592487335, 0.5158299207687378, 0.34454143047332764, 0.4412476420402527, -0.595846951007843, -0.9453394412994385, -0.06762278079986572, -0.9778869152069092...
Teacher:In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sen...
None
6
NIv2
task294_storycommonsense_motiv_text_generation
zs_opt
[ -0.5735760927200317, 0.13944682478904724, 0.3669925928115845, -0.8484631776809692, 0.00048357160994783044, -0.20980972051620483, 0.19304683804512024, 0.6994867920875549, 0.41961830854415894, -0.028480498120188713, 0.30659040808677673, -0.30709612369537354, -0.6257362365722656, -0.181547760...
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 will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list...
[-71, 4, 19]
0
NIv2
task370_synthetic_remove_divisible_by_3
fs_opt
[ -0.016208548098802567, 0.17988379299640656, -0.2018425315618515, -0.5905497074127197, 0.19760732352733612, 0.17168161273002625, 0.9967277646064758, 0.25557422637939453, 0.11265873908996582, 0.1902218461036682, -0.4871848523616791, -0.2741873264312744, 0.06042718142271042, -0.00857450067996...
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 additional inform...
strengthener
4
NIv2
task935_defeasible_nli_atomic_classification
zs_opt
[ -0.016156984493136406, 0.37012889981269836, -0.1877257525920868, -0.4563028812408447, -0.18003618717193604, -1.2250136137008667, 1.548769235610962, 0.8108834624290466, 0.5634912848472595, -0.7834911942481995, -0.9899998903274536, -0.3414643108844757, -0.7114513516426086, 0.1739947497844696...
Teacher:This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete jus...
in order to host The 10th National Game of People's Republic of China
6
NIv2
task075_squad1.1_answer_generation
zs_opt
[ 0.6190436482429504, 0.2456408590078354, -0.8296501040458679, 0.186853289604187, 0.2360612154006958, -0.019870106130838394, -0.3030488193035126, -0.2298879623413086, 0.3944174349308014, 0.20752006769180298, -0.5973836183547974, 0.3320850729942322, -0.6056818962097168, -0.03650704398751259, ...
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: JESUS PURPOSE FOR COMING INTO THIS WORLD WAS FOR MANKIND. THERE WERE DISPLEASING THINGS THAT WE...
Hope Speech
7
NIv2
task679_hope_edi_english_text_classification
fs_opt
[ -0.28825026750564575, 0.26863163709640503, 0.03605889528989792, 0.41828447580337524, -0.636724054813385, -1.3650976419448853, 0.1664504110813141, 1.0070254802703857, 0.2626081109046936, 0.5540921688079834, -0.5160613059997559, 0.38382554054260254, 0.23275402188301086, -0.3908131718635559, ...
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian. Input: Consider Input: وما أعتقد أنه ربما يحصل في هذه الأجزاء من العالم ، حينما يكون لديك عنف مستمر ، سينتهي بك الحال بأجيال من الأطفال شهدوا كل هذا العنف. Output: È possibile, secondo me, che in quelle aree del mondo, dove...
Output: I due filamenti di DNA, la struttura a doppia elica, sono tenuti insieme da pioli, è come una scala a chiocciola.
2
NIv2
task1106_ted_translation_ar_it
fs_opt
[ 0.42117413878440857, 0.6655645966529846, -0.3060336112976074, -0.0904490128159523, -0.5747936964035034, -0.27709323167800903, 0.7400747537612915, 1.0073049068450928, -0.29917317628860474, 0.04376094788312912, -0.896419882774353, 1.0251972675323486, -0.6783309578895569, 0.196998730301857, ...
Part 1. Definition In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance....
142
7
NIv2
task1446_farthest_integers
fs_opt
[ -0.14222875237464905, -0.03072882816195488, 0.09632138907909393, -0.13375791907310486, -0.02025415748357773, -0.20434299111366272, 0.5443041920661926, 0.2138776183128357, 0.7289751768112183, -0.3342721462249756, -0.4008779525756836, -0.1340055763721466, -0.6151223182678223, -0.195342212915...
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage. Example Input: passage: In the Standard Model of modern physics, the four fundamental forces of nature are known to be non-contact forces. The strong and weak inte...
No
3
NIv2
task380_boolq_yes_no_question
fs_opt
[ 0.8765648007392883, 0.46738994121551514, -0.22109481692314148, -0.3157460689544678, 0.33873501420021057, -0.2179592251777649, 0.6402637958526611, 0.6450838446617126, -0.050447627902030945, 0.0008635190315544605, -0.30587372183799744, 0.6640151739120483, -0.42318207025527954, 0.000292572716...
Detailed Instructions: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be ge...
No
4
NIv2
task632_dbpedia_14_classification
fs_opt
[ -0.055926766246557236, 0.012748153880238533, 0.6526517271995544, -0.4627252519130707, 0.8587255477905273, -0.43565064668655396, 0.1212937980890274, 0.5616148710250854, -0.4809790849685669, 0.21626882255077362, -0.16289876401424408, 0.2912752032279968, -0.3224407732486725, 0.006541396491229...