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Detailed Instructions: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, ...
residence
4
NIv2
task1328_qa_zre_relation_generation_from_question
fs_opt
[ 0.7997907400131226, -0.3247140049934387, -0.4003913700580597, -0.07592405378818512, 0.2588282525539398, -0.061373353004455566, 0.46081018447875977, 0.18569183349609375, -0.42513611912727356, 0.36167535185813904, 0.1826859414577484, 0.7631043195724487, -1.1445521116256714, 0.137615501880645...
Instructions: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred. Input: Lovers Lula and Sailor are separated after he is jailed for killing a man who attacked him with a...
Answer: Sailor
3
NIv2
task194_duorc_answer_generation
zs_opt
[ -0.13290084898471832, 0.7570592164993286, -0.9376723766326904, -0.2467266023159027, 0.38419365882873535, 0.6077931523323059, 0.544692873954773, 0.9154561758041382, -0.217119961977005, 0.2635984718799591, -0.04108056053519249, 0.592110276222229, -0.5194848775863647, -0.04403328523039818, ...
You will be given a definition of a task first, then some input of the task. 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 prop...
WDT
1
NIv2
task584_udeps_eng_fine_pos_tagging
zs_opt
[ 0.08372749388217926, 0.33569079637527466, 0.08269448578357697, 0.32431623339653015, -0.2095578908920288, -0.5975984334945679, 0.6748908758163452, 0.8840766549110413, -0.46138250827789307, -0.46533024311065674, -0.16214925050735474, 0.31816908717155457, -0.4836026728153229, -0.1462615132331...
You will be given two sentences. One of them is created by paraphrasing the original one, with changes on an aspect, or using synonyms. Your task is to decide what is the difference between two sentences. Types of change are explained below: Tense: The verbs in the sentence are changed in tense. Number: Plural nouns, ...
Number
4
NIv2
task276_enhanced_wsc_classification
zs_opt
[ -0.5986195206642151, 0.07511621713638306, 0.39217716455459595, -0.5436645746231079, -0.8030734658241272, -0.9135373830795288, 1.0492647886276245, 0.6906483173370361, 0.6313426494598389, -0.32959863543510437, -0.3034652769565582, 0.2267685979604721, -0.6379157900810242, 0.013285418041050434...
Given the task definition and input, reply with output. 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". Bulgarian: По-добро законотворчество 2006 г....
no
5
NIv2
task273_europarl_classification
zs_opt
[ -0.6863012909889221, 0.616181492805481, 0.8222039937973022, 0.13185586035251617, -0.029671667143702507, -0.26186367869377136, 0.4194006323814392, -0.27172034978866577, 0.618198037147522, -0.5814290046691895, -0.6191078424453735, 0.7850167155265808, -0.6571340560913086, 0.2597283124923706, ...
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese. Q: (Risas) E un home contaba as historias do seu pai utilizando unha plataforma chamada Twitter para comunicar o excremento que o seu pai xesticulaba. A: ( 笑 ) またある男はツイッターというプラットフォームを使い自分の父親がどんな言動で鬱憤を晴らすか伝えています **** Q:...
自分の超自我を黙らせて手元に残っているものを満喫するようにしています ****
4
NIv2
task1239_ted_translation_gl_ja
fs_opt
[ -1.0872920751571655, 0.8374229669570923, -0.20294800400733948, -0.38918033242225647, -0.5691916942596436, -0.7742955088615417, 0.9351135492324829, 0.06263141334056854, -0.26303499937057495, -0.09274641424417496, -0.165689617395401, 0.847199559211731, -0.6519194841384888, 0.2924839854240417...
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common'...
Output: location
2
NIv2
task900_freebase_qa_category_classification
fs_opt
[ -0.20756863057613373, 0.8725230693817139, 0.1006622314453125, -0.2736954689025879, 0.3218594789505005, 0.2909668982028961, -0.12059305608272552, 0.655215859413147, -0.11366745829582214, -0.09196498245000839, -0.20361140370368958, 0.001778134610503912, -0.5659550428390503, -0.26598614454269...
Teacher: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story. Teacher: Now, understand the problem? If you are s...
Tom passed but not with a great grade.
2
NIv2
task215_rocstories_incorrect_answer_generation
fs_opt
[ -0.20743653178215027, 0.25836461782455444, 0.5251717567443848, -0.1615128070116043, 0.36194998025894165, -0.03751179948449135, 0.10662820935249329, 0.6425225138664246, -0.051361992955207825, 0.305405855178833, -0.6135367155075073, -0.1579807847738266, -0.11528508365154266, -0.1606044173240...
You will be given a definition of a task first, then some input of the task. 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, Pers...
Yes
1
NIv2
task1213_atomic_classification_desires
zs_opt
[ -0.08058913797140121, 0.412534236907959, 0.5105703473091125, -0.1532151848077774, -0.434857577085495, -0.5265375375747681, 1.1112871170043945, -0.05069337785243988, -0.8143301010131836, -0.3253307342529297, -0.3389897346496582, -0.7487534284591675, -0.2870890498161316, 0.3568018078804016, ...
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts. [EX Q]: Context_1 : "Homer to the Max" is the thirteenth episode of "The Simpsons"<nowiki>'</nowiki> tenth s...
Dinosaur
6
NIv2
task170_hotpotqa_answer_generation
fs_opt
[ 0.9449031949043274, 0.3596303462982178, -1.0709142684936523, -0.3246968388557434, 0.43124693632125854, -1.0765798091888428, 0.5606017708778381, 0.6203386783599854, 0.403171181678772, 0.5561238527297974, -0.8471169471740723, 1.1469337940216064, -0.46169543266296387, -0.29967159032821655, ...
You will be given a definition of a task first, then some input of the task. This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning). The generated questions must require looking at more than one part of the passage to answer. Try to use a ...
How many different names did the Declaration of Indulgence have?
1
NIv2
task026_drop_question_generation
zs_opt
[ 1.0592665672302246, 0.2916843295097351, -0.3546663224697113, 0.09011465311050415, 0.515296459197998, -0.7318433523178101, 0.5603660345077515, 0.8705145120620728, -0.14555439352989197, 0.07481695711612701, -0.1420259326696396, 0.7702746391296387, -0.45195725560188293, 0.1922340840101242, ...
You are given a sentence in English. Your job is to translate the English sentence into Arabic. There is a zone there, around Guantanamo Bay, where a treaty gives the United States administrative responsibility for a piece of land that's about twice the size of Manhattan.
هناك منطقة ، وحول خليج جوانتانامو حيث تعطي معاهدة الولايات المتحدة المسؤولية الإدارية عن قطعة أرض هي ضعف مساحة مانهاتن.
0
NIv2
task1220_ted_translation_en_ar
zs_opt
[ 0.15595754981040955, 0.4646700918674469, -0.4384738504886627, -1.0858962535858154, -0.36029887199401855, -0.6659307479858398, 0.16018947958946228, 0.3552488684654236, 0.44620829820632935, 0.14910000562667847, 0.20690403878688812, 0.027666399255394936, -1.1213903427124023, -0.02766541205346...
Teacher:In this task, you are given a sentence in English, and your task is to translate it into Persian. Teacher: Now, understand the problem? Solve this instance: They're defending their own. — Maryam Nayeb Yazdi (@maryamnayebyazd) February 10, 2014 Student:
اپیوم، کاربر توتیتر ساکن ایران دعوت به همبستگی می‌کند: با تو هستم!
6
NIv2
task663_global_voices_en_fa_translation
zs_opt
[ -0.10891080647706985, 0.7753575444221497, 0.003714177291840315, -0.5365498065948486, 0.19907307624816895, -0.4508618116378784, 0.514519214630127, 0.6364715695381165, 0.312027245759964, -0.048358071595430374, -0.08728352189064026, -0.3395349085330963, -0.338315486907959, -0.7084574699401855...
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 numbers separated by comma inside brackets. Q: [-54, -88...
[-54, -88, 56]
4
NIv2
task369_synthetic_remove_odds
zs_opt
[ -0.9049417972564697, 0.9280459880828857, 0.0215340293943882, -1.0891836881637573, 0.1407163143157959, -0.3518984019756317, 1.2965198755264282, 0.31213200092315674, 0.29027503728866577, 0.1240796148777008, -0.7219367623329163, 0.034651316702365875, -0.14168332517147064, -0.2672516405582428,...
In this task, you will be shown a passage and a question in Persian. You need to write an answer in Persian for the question. Try to keep your answers as short as possible. Input: Consider Input: فراورده‌های دارویی مرفین در سه فرم خوراکی (قرص و کپسول)، تزریقی (وریدی، زیرپوستی و عضلانی) و شیاف موجود است. البته مصرف آن ...
Output: استان بوشهر
2
NIv2
task467_parsinlu_rc_answer_generation
fs_opt
[ -0.2381119728088379, 0.8096675276756287, -0.3987676501274109, -0.04362357035279274, -0.1896054446697235, 0.1643388569355011, 0.6155427694320679, 0.19185687601566315, 0.21658623218536377, -0.3330591917037964, -1.006610631942749, 0.832703173160553, 0.0019667423330247402, -0.16227272152900696...
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese. One example is below. Q: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico. A: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました Rationale: The Italian sentence is correctly...
これは現実の奴隷の話です
9
NIv2
task1248_ted_translation_it_ja
fs_opt
[ -0.4179520308971405, 0.4879995882511139, -0.44507619738578796, -0.43973734974861145, -0.6961100697517395, -0.8357841968536377, 0.7266727685928345, 1.1729457378387451, 0.9712011814117432, -0.3988267183303833, -0.6875090599060059, 0.33381786942481995, -0.4664246141910553, 0.31791388988494873...
Detailed Instructions: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence in a geopolitical context based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: geopolitical or non-geopol...
geopolitical
8
NIv2
task1493_bengali_geopolitical_hate_speech_binary_classification
zs_opt
[ -0.7596827745437622, 0.33869117498397827, 0.04725087061524391, 0.3036949634552002, -0.936432957649231, -0.41673266887664795, 0.3775666356086731, 0.42539435625076294, 0.14227192103862762, -0.5803513526916504, -0.47083520889282227, 0.03439423441886902, -0.007759883999824524, -0.1444045752286...
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 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 prov...
Question: What did Qin Shihuang started to build for himself ?, Answer: Qin Shihuang the first emperor of China started to build a royal tomb for himself
0
NIv2
task182_duorc_question_generation
fs_opt
[ 0.20150774717330933, 0.24568091332912445, -0.721211850643158, -0.6187893748283386, 0.20313307642936707, 0.00883538369089365, 0.6240787506103516, 0.700191080570221, -0.18325449526309967, -0.11574545502662659, 0.3255647122859955, 0.4025633931159973, -0.8537873029708862, 0.4197852611541748, ...
You will be given a definition of a task first, then some input of the task. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, wi...
There are people in front of the stage.
1
NIv2
task189_snli_neutral_to_contradiction_text_modification
zs_opt
[ -0.2459138035774231, 0.9068646430969238, 0.22408989071846008, -0.5763112902641296, 0.17511308193206787, 0.03794519603252411, -0.12579631805419922, 0.6774723529815674, 0.5065964460372925, -0.284835547208786, -0.04925379529595375, -0.5314714908599854, -0.08912775665521622, -0.028310710564255...
Teacher: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish. Teacher: Now, understand the problem? If you are still confused, see the following example: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت. Sol...
Zdaje się, że Jason Webley nazwał to "" dokładaniem się do tworzenia magii "".
2
NIv2
task1272_ted_translation_fa_pl
fs_opt
[ -0.16147783398628235, 1.092146396636963, 0.5139667987823486, -0.43084627389907837, -0.44853776693344116, -0.045857835561037064, 1.242769718170166, 0.07530848681926727, -0.007847148925065994, -0.7565346360206604, -0.4884725511074066, 1.0238183736801147, -0.5092794895172119, 0.09450607746839...
Definition: 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...
date
2
NIv2
task027_drop_answer_type_generation
zs_opt
[ 0.21602517366409302, 0.7165887355804443, -0.2370116114616394, -0.3425183594226837, -0.13162115216255188, -0.12060844153165817, 0.6000294089317322, 1.2236895561218262, -0.3777758777141571, 0.11732983589172363, -0.3192579448223114, 0.3597433865070343, -0.208551824092865, 0.2851753830909729, ...
You will be given a definition of a task first, then some input of the task. Translation from English to Telugu. I'm told you had a bit of a problem last night. Output:
నేను మీరు గత రాత్రి ఒక సమస్య ఒక బిట్ కలిగి చెప్పారు చేస్తున్నాను.
1
NIv2
task1330_open_subtitles_en_te_translation
zs_opt
[ 0.24265050888061523, 0.6379084587097168, -0.16189631819725037, 0.5462028384208679, -0.052579615265131, -0.4300909638404846, 0.0711841881275177, 0.6766688227653503, -0.6090798377990723, 0.20560988783836365, -0.2058829814195633, -0.21256986260414124, -0.13605442643165588, -0.0672439783811569...
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages ​​at the same time. Ex Input: Queda, sin embargo, el 20 %, señora, por razones muy simples. Ex Outpu...
Spanish
1
NIv2
task533_europarl_es-en_language_identification
fs_opt
[ -0.3122350573539734, 0.8900022506713867, 0.40516895055770874, -0.014259958639740944, -0.20540237426757812, -0.7960235476493835, 0.5841113328933716, 1.1434266567230225, 0.43094849586486816, 0.05333918705582619, -0.02201671525835991, 0.6399986147880554, -0.29815056920051575, -0.7983051538467...
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. [Q]: 4, 8, ['q', 'O', 'H', '6297', 'u', '8567', '4421', 'E', '91...
3963, m, 7989, v, 2731, y, q, F, 4303
5
NIv2
task1551_every_ith_element_from_kth_element
fs_opt
[ 0.3212960958480835, -0.21114115417003632, -0.6229712963104248, -0.5303795337677002, -0.4387432336807251, -0.24406394362449646, 0.7894301414489746, 0.44084903597831726, -0.5072815418243408, 0.08951538056135178, -0.8595663905143738, 0.03273122385144234, 0.3183107376098633, 0.2765571177005768...
This task is to translate the English language Input to Telugu Language Output Q: Baahubali discovers that an old friend with a long memory needs his help and pledges his assistance. Bhallaladeva, however, has other plans for Baahubali's friend. A: సుదీర్ఘ జ్ఞాపకశక్తి గల తన పాత మిత్రునికొకనికి తన సాయం అవసరమని తెలుసుక...
బజాజ్ ఫిన్సర్వ్ పర్సనల్ లోన్స్ పై ఎలాంటి దాగి ఉన్న చార్జెస్ లేవు. నియమాలు మరియు నిబంధనలు ఇక్కడ చదవండి. ****
4
NIv2
task1616_cc_alligned_translate_eng_tel
fs_opt
[ 0.08739644289016724, 0.766671359539032, 0.060680143535137177, -0.5956344604492188, -0.3724896311759949, -0.8284264206886292, 1.536811351776123, 0.0030448543839156628, -0.1781330555677414, -0.3484917879104614, -0.4869788885116577, 0.3808291554450989, -0.321689248085022, 0.4568081498146057, ...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese. Q: Po wylądowaniu, znów znajdziesz się w oku. A:
E quando aterras, poderás voltar para este olho gigante.
4
NIv2
task1264_ted_translation_pl_pt
zs_opt
[ -0.36185020208358765, 1.0407664775848389, -0.33464276790618896, -0.9061985015869141, 0.1305740922689438, 0.45906737446784973, -0.12254531681537628, 0.22857515513896942, 0.3082141876220703, 0.2139425277709961, -0.12181885540485382, -0.27816352248191833, 0.3192242980003357, 0.462598204612731...
Q: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative. One word: Diarrhea\n\nWhether it was mixing the wide variety of foods they had, the shrimp or the crab legs....
NEGATIVE
7
NIv2
task475_yelp_polarity_classification
zs_opt
[ -1.1214110851287842, 0.6042184829711914, 0.29408639669418335, -0.08846613764762878, 0.10803550481796265, -0.01759425364434719, 0.22234776616096497, 0.221007838845253, 0.09312065690755844, -0.07737641036510468, 0.5065845251083374, 0.019113220274448395, -0.4721563160419464, 0.282467305660247...
Definition: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas. Input: fawn, expression, calf, hatchling, bambi Output:
expression
2
NIv2
task142_odd-man-out_classification_no_category
zs_opt
[ 0.992644190788269, -0.09382079541683197, -0.13468994200229645, 0.41980811953544617, -0.22171804308891296, -0.040994372218847275, 0.7705658674240112, 0.3532547950744629, -0.07199832797050476, -0.27635353803634644, -1.6229077577590942, -0.14838853478431702, -0.7747637033462524, 0.37614205479...
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 any ...
PersonX's toaster was broken so they asked PersonY if they could toast some buns in there's because _ was a giver.
6
NIv2
task035_winogrande_question_modification_person
fs_opt
[ 0.8473526239395142, 0.31653445959091187, -0.157659113407135, -0.13381677865982056, 0.4959515929222107, -0.7557500600814819, 1.3296221494674683, 0.808587908744812, -0.7196304798126221, -0.8119558095932007, -0.2961663007736206, 0.1896611750125885, -0.9793403148651123, 0.2057642936706543, 0...
Detailed Instructions: In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as "Angry" or "Not angry" based on your judgment. Q: Follow me on Snapchat 👻 Carlabtst15 #snapchat #snap A:
Not angry
9
NIv2
task397_semeval_2018_task1_tweet_anger_detection
zs_opt
[ -1.102567434310913, 0.43834397196769714, 0.26353132724761963, -0.4826492369174957, -0.052331216633319855, -0.8919012546539307, 0.45483672618865967, -0.5688612461090088, -0.20552174746990204, 0.3501660227775574, 0.7784630060195923, 0.05707208812236786, -0.8936129808425903, 0.275694489479064...
Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact. Example input: Tagalog sentence: Si Roger Federer ang unang manlalaro na nanalo ng 20 Grand Slams Example output: Roger Federer was the first player to win 20 Grand Slams Example explan...
5:13 You shall labor six days, and do all your work;
3
NIv2
task451_opus_paracrawl_tl_en_translation
fs_opt
[ 0.40904027223587036, 0.48656415939331055, -0.19687743484973907, 0.14508354663848877, 0.5831960439682007, -0.9704625606536865, 0.43434077501296997, 0.35588139295578003, -0.07000631839036942, -0.104630246758461, 0.25699079036712646, 0.6079376339912415, -0.8926582336425781, -0.464187979698181...
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into English. Problem:Wtedy chcieli zająć się hodowlą ryb, Rada znów nie wydała zgody. Solution:
And then they wanted to make a fish farm and again the council said no.
8
NIv2
task1256_ted_translation_pl_en
zs_opt
[ -0.29398947954177856, 0.8725660443305969, 0.2286033034324646, -0.13136926293373108, 0.4075269103050232, -0.6793961524963379, 0.9422992467880249, -1.0140588283538818, -0.5599488019943237, 0.02212214469909668, 0.4445590376853943, -0.1694166362285614, -0.848222017288208, 0.22785793244838715, ...
Detailed Instructions: Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct ans...
cooking.
4
NIv2
task042_qasc_incorrect_option_generation
fs_opt
[ 0.0400502011179924, 0.29604923725128174, -0.5901342630386353, 0.5657150149345398, -0.014344945549964905, -1.855863332748413, 0.4836965799331665, 0.8325666785240173, -0.898768424987793, 0.03471992164850235, -0.8906798362731934, 0.35483723878860474, -0.33557313680648804, 0.09276637434959412,...
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish. ライフワークに対し尋常ではない考え方ですが ― Una declaración extraordinaria acerca del trabajo de tu vida, ¿saben? その瞬間に経験したことの記憶やちょっとした知識を保存します Nos permite almacenar algunas experiencias inmediatas y algo de conocimiento. 1立方メートルの木はおよそ1トン...
Un metro cúbico de madera almacena una tonelada de dióxido de carbono.
0
NIv2
task1223_ted_translation_ja_es
fs_opt
[ -0.7833908796310425, 0.12520071864128113, 0.0543353445827961, -0.027234382927417755, -0.28192102909088135, -1.0699787139892578, 0.6632934808731079, 0.21273063123226166, 0.3081696033477783, -1.0275094509124756, -0.30404356122016907, -0.29850178956985474, -0.6477759480476379, 0.5390699505805...
Definition: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to arrange the sentences in order to make a story that makes complete sense and is apt for the title. Indicate your answer using the number of the sentences in order, such as '34152'. Input: Title...
35142
2
NIv2
task217_rocstories_ordering_answer_generation
zs_opt
[ -0.5019303560256958, 0.3846953213214874, 0.16877543926239014, -0.2800390422344208, -0.11584591120481491, 0.20208469033241272, 0.29445981979370117, 0.2267363965511322, 0.05686036869883537, -0.05645217373967171, -1.0128679275512695, -0.6555297374725342, -0.8332188129425049, 0.395142704248428...
In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words. Let me give you an example: Alterations of the architecture of cerebral white matter in the developing human brain can affect cortical development and result in functional disab...
Identification of vitronectin as an extrinsic inducer of cancer stem cell differentiation and tumor formation.
8
NIv2
task1586_scifact_title_generation
fs_opt
[ 0.8014246821403503, 0.18719959259033203, -0.5924755930900574, 0.02015487104654312, 0.3634421229362488, 0.0982964038848877, 0.08529976010322571, 1.2797343730926514, 0.8559970259666443, 0.4803583323955536, 0.09992703795433044, 0.048317279666662216, -0.8178696632385254, 0.29816198348999023, ...
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish. Ex Input: میتونید تاندنها و عضلات را ببینید Ex Output: Teraz stopniowo dodam mięśnie i ścięgna. Ex Input: اگر جای من بودید چه احساسی داشتید ؟ یک چیز فوق العاده و بی همتا در دستانتان هست ولی وسط ناکجا آباد هستید ؟ Ex Outpu...
Zacznijmy od Kamerdynerów: "" Jestem w drodze "" - kto tak napisał,
1
NIv2
task1272_ted_translation_fa_pl
fs_opt
[ -0.40287184715270996, 0.297111839056015, -0.5451542139053345, 0.24060513079166412, -0.5553238391876221, 0.15453284978866577, 0.829495370388031, 0.5238144397735596, 0.4640621542930603, -0.0964648649096489, -0.4803583025932312, 0.29762381315231323, -0.7597349882125854, 0.4178057014942169, ...
You will be given a definition of a task first, then some input of the task. In this task, you will be shown a Persian passage. You need to write a Persian question for the passage. Your question should be answerable based on the passage and only have one correct answer. گاهی اوقات آب های زیر زمینی خود به خود به سطح ز...
روش‌های مختلف درمان با آب معدنی را نام ببرید؟
1
NIv2
task394_persianqa_question_generation
zs_opt
[ 0.5500613451004028, 0.6951538324356079, -0.712584376335144, 0.13754388689994812, 0.06540106981992722, -0.9732911586761475, 0.8356723189353943, 0.6404746174812317, 0.17603233456611633, 0.005732879973948002, -0.5096680521965027, 0.6968404650688171, -0.5607358813285828, -0.056951507925987244,...
TASK 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. Y...
Yes
8
NIv2
task1211_atomic_classification_hassubevent
fs_opt
[ 0.9226540327072144, 0.4190344512462616, 0.03376104682683945, 0.04072903096675873, -0.3935149908065796, -0.7443491220474243, 1.26521635055542, 0.6081730127334595, -0.613629162311554, -0.081067755818367, -0.349531888961792, -0.39150792360305786, -0.9102776050567627, -0.3350975811481476, 0....
Instructions: 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. Input: ['N', '8491', '117', 'Y', 'a', 'E', 'F', '5463', 'D', 'B', 'J...
16
3
NIv2
task505_count_all_numerical_elements_in_list
zs_opt
[ -0.013450631871819496, 0.5524966716766357, -0.10550403594970703, -0.7064871191978455, 0.04506177082657814, -0.23362447321414948, 0.7349498867988586, 0.46092507243156433, -0.3580862283706665, 0.6994348764419556, -0.9082929491996765, 0.41462668776512146, -0.004126764368265867, -0.01743518188...
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: religious or non-political religious on the top...
non-religious
5
NIv2
task1492_bengali_religious_hate_speech_binary_classification
fs_opt
[ -0.5452402830123901, -0.2265559732913971, 0.2820209860801697, 0.24949659407138824, -0.4714435636997223, -0.18806645274162292, -0.4161425828933716, 0.4860222637653351, -0.4572000503540039, -0.09605197608470917, -0.13763073086738586, -0.5983453989028931, 0.0083992974832654, -0.53268849849700...
Detailed Instructions: In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are...
no
9
NIv2
task211_logic2text_classification
zs_opt
[ 0.03931082412600517, -0.42478302121162415, -0.4788304567337036, 0.3897097706794739, 0.5437324643135071, -0.5836585760116577, 0.17609663307666779, 0.44730034470558167, -0.0009997596498578787, -0.006958399899303913, -0.26875877380371094, 0.2405349314212799, 0.2804538607597351, 0.138651937246...
Teacher: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish. Teacher: Now, understand the problem? If you are still confused, see the following example: ♫ עם הכוח לעמוד ♫ ♫ בחצותה את הגבול ♫ ♫ היא אמרה, "" אתם תגדלו חופשיים על האדמה הזו "" ♫ ♫ נשים של תקווה ♫ ♫ נשים של שינוי ♫ ...
Richard Wurman: Udało ci się.
2
NIv2
task1112_ted_translation_he_pl
fs_opt
[ -0.28969427943229675, 0.7505060434341431, -0.07944662868976593, -0.34512513875961304, -0.46227478981018066, -0.5696349143981934, 1.5088027715682983, -0.0853666365146637, 0.4494529962539673, -0.4779060482978821, -0.8152214288711548, 0.5033183693885803, -0.9626610279083252, 0.234758868813514...
You will be given a definition of a task first, then some input of the task. In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. Th...
customer: I need a single connecting flight and also I want economy class.
1
NIv2
task574_air_dialogue_sentence_generation
zs_opt
[ 0.17490120232105255, 0.4219888746738434, -0.7712115049362183, -0.13737398386001587, 0.26675134897232056, -0.3211744427680969, 0.8537538051605225, -0.38844552636146545, -0.30338406562805176, 0.2391166090965271, 0.03301909193396568, -0.16368378698825836, -0.4297097325325012, 0.27637901902198...
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 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...
Peter waits for his friends >Causes/Enables> His friends run past him
0
NIv2
task748_glucose_reverse_cause_event_detection
fs_opt
[ 0.09813326597213745, -0.04837266728281975, 0.6461199522018433, 0.1339835226535797, -0.0029335767030715942, -1.023287057876587, -0.024320371448993683, 0.6432933807373047, -0.31795650720596313, 0.10568735003471375, -0.7715293765068054, -0.5060787200927734, 0.13471955060958862, -0.37740385532...
You are given a statement written in Gujarati. 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: છોટાઉદેપુર નગર છોટાઉદેપુર રજવાડાનું પાટનગર હતું, જેની સ્થાપના <MASK>ના પતઇ રાવલના વંશજ રાવલ ઉદયસિંહજી...
ભારત
0
NIv2
task946_wiki_cloze_gu_multiple_choice_question_answering
fs_opt
[ 0.2159014791250229, 0.5764047503471375, 0.2891612648963928, -0.27829039096832275, 0.5132938623428345, -0.40749743580818176, 0.9138850569725037, 1.4215072393417358, -0.3465052545070648, 0.035500418394804, -0.32287704944610596, 0.8191155791282654, -0.48595020174980164, -0.1495339572429657, ...
Teacher:In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you ...
customer: I prefer one connection.
6
NIv2
task574_air_dialogue_sentence_generation
zs_opt
[ -0.053034648299217224, 0.07256412506103516, -0.2948620021343231, -0.5131767392158508, 0.27079373598098755, -0.6384504437446594, 0.3794260621070862, 0.7211493253707886, -0.5842479467391968, 0.550851583480835, 0.895895779132843, -0.26075804233551025, -0.7922607660293579, -0.266526997089386, ...
Given the task definition and input, reply with output. In this task, you will be presented with a question having multiple possible answers in Japanese language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge. Question: 移動中の車を見た警察は、容疑者の行動を知っていたのか? ...
B
5
NIv2
task1145_xcsr_jap_commonsense_mc_classification
zs_opt
[ 0.20073525607585907, -0.13807997107505798, 0.2515382170677185, 0.06354548037052155, -0.38368484377861023, 0.009593135677278042, 0.5731244087219238, 0.25626152753829956, 0.35933005809783936, -0.5586134791374207, -0.7596619129180908, 0.2506677508354187, 0.12129716575145721, -0.08726678788661...
In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous nam...
Modern: B-MISC, Times: I-MISC
6
NIv2
task1544_conll2002_named_entity_recognition_answer_generation
fs_opt
[ -0.3286247253417969, 0.2905759811401367, -0.17341306805610657, 0.054239578545093536, -0.5025416612625122, -0.19081032276153564, 0.8727715611457825, -0.2630399465560913, 0.722453773021698, -0.6839355230331421, -0.7801908254623413, 0.25367212295532227, 0.23056188225746155, 0.2488777935504913...
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and r...
Option B
5
NIv2
task750_aqua_multiple_choice_answering
fs_opt
[ 0.10460245609283447, 0.25395330786705017, 0.28164660930633545, -0.2791711091995239, -0.06371524184942245, -0.02497396618127823, 0.10274820774793625, 0.7211148738861084, -0.10961165279150009, -0.04951496422290802, -0.33496004343032837, -0.08962170034646988, -0.38601261377334595, -0.39535444...
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence. Problem:ਅਪ੍ਰੈਲ 2003 ਵਿੱਚ ਐੱਨਡੀਏ ਸਰਕਾਰ ਵੱਲੋਂ ਸ਼ੁਰੂ ਕੀਤੀ ਈਸੀਐੱਚਐੱਸ 54 ਲੱਖ ਐਕਸ-ਸਰਵਿਸਮੈੱਨ ਪੈਨਸ਼ਨਰਾਂ, ਉਨ੍ਹਾਂ ਦੇ ਆਸ਼ਰਿਤਾਂ ਅਤੇ ਕੁਝ ਹੋਰ ...
એનડીએ સરકારે એપ્રિલ, 2003માં શરૂ કરેલી ઇસીએચએસ ભૂતપૂર્વ સૈનિક પેન્શનર્સ, તેમનાં આશ્રિતો અને અન્ય થોડી શ્રેણીઓમાં 54 લાખ સૈનિકોને ગુણવત્તાયુક્ત મેડિકેર સુવિધા પ્રદાન કરે છે.
8
NIv2
task1044_pib_translation_punjabi_gujarati
zs_opt
[ -0.31256622076034546, 0.35714229941368103, -0.14498412609100342, -0.774601399898529, -0.4486333131790161, -1.0318773984909058, 0.9930380582809448, 0.11927802860736847, -0.017400896176695824, 0.1468883752822876, -0.31759214401245117, -0.35866811871528625, -0.5565081238746643, 0.243909865617...
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 . [EX Q]: Statement: <MASK> ഇളമ്പാരി മലകളിൽ നിന്നുമാണ്‌ ചാലിയാർ ഉൽഭവിക്കുന്നത്. തമിഴ്നാട്ടിലെ നീലഗിരി ജില്ലയിലാണ്...
സൂര്യപ്രകാശം
6
NIv2
task949_wiki_cloze_ml_multiple_choice_question_answering
fs_opt
[ 0.3560112714767456, 0.8159139752388, -0.5110412836074829, -0.3027127683162689, 0.24979089200496674, -1.2069711685180664, 0.2276659458875656, 0.8363197445869446, -0.430647611618042, -0.3357049226760864, -0.20670315623283386, 0.3283383250236511, -0.16605518758296967, 0.10631164908409119, 0...
Instructions: Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question. Input: Question: Is cardiac hypertrophy a required compensato...
no
3
NIv2
task846_pubmedqa_classification
zs_opt
[ 0.1836802363395691, 0.0050931829027831554, -0.4146925210952759, 0.4091310501098633, -0.23709756135940552, -0.8426728844642639, 0.8132835626602173, 0.6035175323486328, 0.2360399067401886, 0.21993741393089294, -0.043179988861083984, -0.5210510492324829, -0.31091731786727905, 0.25501382350921...
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man". One example: M: I am considering dropping my dancing c...
10:15.
6
NIv2
task283_dream_incorrect_answer_generation
fs_opt
[ 0.06895382702350616, -0.22405996918678284, -0.2552500367164612, -0.6093708872795105, 0.7022684216499329, -0.577349841594696, 0.9303470849990845, 0.23857128620147705, 0.5226223468780518, -0.2872861921787262, -0.6052405834197998, 0.3214944005012512, 0.17242151498794556, 0.4266166090965271, ...
instruction: 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. question: fly, leap, glide, car, bike answer: leap question: bow, duck, sheep, goose, geese answer: bow question: slapjack, uno, brandy, poker...
brandy
9
NIv2
task142_odd-man-out_classification_no_category
fs_opt
[ 0.04382611811161041, 0.9137155413627625, -0.41431334614753723, 0.17443114519119263, 0.10753770172595978, -0.3018797039985657, 0.4227601885795593, 0.3964082896709442, -0.15312331914901733, -0.41766807436943054, -0.8712126612663269, 0.2758439779281616, -0.9311909675598145, 0.3165996074676513...
Q: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ...
Stereotype
7
NIv2
task279_stereoset_classification_stereotype
zs_opt
[ 0.056854259222745895, 0.19888606667518616, 0.2106390744447708, 0.6456931829452515, -0.3543638288974762, -0.1194823756814003, 0.943708062171936, 0.6695801615715027, 0.15454304218292236, -0.0349864587187767, -0.2997738718986511, 0.3509145975112915, -0.20272020995616913, -0.07664328068494797,...
Q: In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred. Truman Capote, known in New York City society for his wit and fashion flair as much as he is recognized in literary...
Answer: Lee
7
NIv2
task194_duorc_answer_generation
zs_opt
[ 0.6775140762329102, 0.579475462436676, -0.17242708802223206, 0.4734693169593811, 0.8592466115951538, 0.0827016830444336, 0.721971869468689, 0.4266371428966522, 0.035879068076610565, 0.19808128476142883, -0.4985939860343933, 0.5882121324539185, -1.4051100015640259, 0.21447405219078064, -0...
TASK DEFINITION: In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily...
From 1989-Present, the previous Ship was RNN HNLMS Evertsen (F815).
8
NIv2
task1409_dart_text_generation
fs_opt
[ 0.10957935452461243, -0.25531211495399475, -0.2649422585964203, 0.05459372699260712, 0.3911259174346924, 0.10112011432647705, 0.2967071533203125, 0.540835976600647, -0.14870670437812805, 0.14304669201374054, 0.13327300548553467, -0.007061676122248173, -0.33659929037094116, 0.02723318524658...
Part 1. Definition In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character. P...
Answerable
7
NIv2
task290_tellmewhy_question_answerability
fs_opt
[ 0.0077341822907328606, -0.2455722689628601, 0.310596764087677, 0.22717157006263733, 0.13307107985019684, -0.9377259016036987, -0.030015790835022926, 0.4410732686519623, 0.37380993366241455, -0.24402466416358948, -0.7323464155197144, -0.28271934390068054, -0.26072221994400024, -0.1195818185...
Q: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inner list you sh...
[195, 0, 665, -5355]
7
NIv2
task852_synthetic_multiply_odds
zs_opt
[ -0.7623718976974487, 0.5326915979385376, -0.583129346370697, -0.3387570381164551, -0.09533296525478363, -0.3693484961986542, 1.3579288721084595, 0.03455832600593567, 0.09445368498563766, 0.01302940770983696, -0.9155315160751343, -0.29432412981987, -0.4134032130241394, -0.22344522178173065,...
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician. Q: En vez de mandarlos al Tercer Mundo los mandamos al salvaje mundo municipal. A:
No canto de envialos ao Terceiro Mundo, enviámolos ás xunglas municipais.
4
NIv2
task1100_ted_translation_es_gl
zs_opt
[ -1.5331634283065796, 1.854905605316162, 0.14618255198001862, -1.0012857913970947, 0.03700573742389679, -0.3836655616760254, 0.16770607233047485, -0.10675802826881409, -0.23224082589149475, -0.22211125493049622, 0.1009075790643692, 0.7753295302391052, -0.2670137286186218, -0.482006788253784...
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in ...
PersonX has a lot of expertise in computers but PersonY doesn't because _ majored in computer science.
6
NIv2
task032_winogrande_question_generation_person
fs_opt
[ 0.4267829358577728, 0.3218744397163391, -0.25037097930908203, 0.4318627119064331, 0.16089534759521484, -0.3188348114490509, 0.22254307568073273, 0.9622671604156494, -0.2116314172744751, -0.7234657406806946, -0.4759787917137146, 0.21702229976654053, -0.3866437077522278, -0.1902189403772354,...
In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you fill the...
agent: Kindly share your journey codes.
8
NIv2
task574_air_dialogue_sentence_generation
fs_opt
[ 0.38988250494003296, 0.529790997505188, -0.4121791124343872, -0.6822373867034912, 0.48289763927459717, -0.15807396173477173, 1.551405429840088, -0.08675011247396469, -0.5226469039916992, 0.09686031937599182, 0.012077264487743378, -0.21571126580238342, -0.7020870447158813, 0.644226908683776...
TASK DEFINITION: Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses ...
Neutral
8
NIv2
task421_persent_sentence_sentiment_classification
fs_opt
[ -0.18590156733989716, 0.07978431135416031, 0.08882541954517365, -0.33245059847831726, 0.11404500901699066, -0.23918625712394714, 1.2909300327301025, 0.27433010935783386, 0.3029438853263855, 0.20645171403884888, -0.3929676115512848, 0.397111177444458, -0.9381057620048523, -0.454288601875305...
Detailed Instructions: In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian. Q: But most of them follow nothing but fancy: truly fancy can be of no avail against truth. Verily Allah is well aware of all that they do. A:
و بیشتر آنان [در عقاید و آرایشان] جز از گمان و ظن پیروی نمی‌کنند، یقینا گمان و ظن به هیچوجه انسان را از حق بی نیاز نمی‌کند، [و جای معرفت و دانش را نمی‌گیرد] مسلما خدا به آنچه انجام می‌دهند، داناست.
9
NIv2
task656_quran_en_fa_translation
zs_opt
[ -0.34365415573120117, 1.1396865844726562, 0.13940781354904175, -0.5232790112495422, -0.8289970755577087, -1.0096938610076904, 0.6131490468978882, 0.0046786535531282425, -0.562201738357544, -0.7780658006668091, -0.42809829115867615, 0.20946408808231354, -0.6797113418579102, 0.31076517701148...
Detailed Instructions: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentenc...
Yes
8
NIv2
task114_is_the_given_word_longest
zs_opt
[ -0.42119669914245605, 0.3425673842430115, -0.4449145793914795, 0.5020585656166077, 0.08862487971782684, -0.8778598308563232, 0.16646328568458557, 0.3648512065410614, 0.2721077799797058, -0.5346561670303345, -0.48147815465927124, 0.14195363223552704, 0.031795427203178406, -0.443185567855834...
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous. ...
surprise
0
NIv2
task1663_cedr_ru_incorrect_classification
fs_opt
[ -0.736424446105957, 0.23401013016700745, 0.23281468451023102, -0.5685288906097412, -0.7909182906150818, -0.12627074122428894, 0.5072466135025024, 1.1658120155334473, -0.012516891583800316, -0.20226125419139862, -1.0080375671386719, -0.3107983469963074, -0.4704075753688812, -0.0152774434536...
Given the task definition and input, reply with output. Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when tw...
Playing is one way cats learn how to behave.
5
NIv2
task038_qasc_combined_fact
zs_opt
[ -0.16269958019256592, 0.6953963041305542, -0.6567928791046143, 0.6471878886222839, -0.22990785539150238, -0.7574113607406616, -0.06715674698352814, 0.9893453121185303, -0.40327200293540955, -0.18981215357780457, -0.7892177104949951, 0.7346324324607849, -0.5245019197463989, -0.3468031287193...
Given the task definition, example input & output, solve the new input case. Construct a question that every answer in the list is correct and reasonable for it. Example: umbrella, sunscreen, sun hat, sunglasses, cover up, shade Output: at the beach, name something that might protect you from sun. umbrella, sunscreen, ...
name a type is cake.
1
NIv2
task821_protoqa_question_generation
fs_opt
[ 0.43190017342567444, 0.5639011859893799, -0.5496183633804321, -0.22427180409431458, 0.17827355861663818, -1.424351692199707, -0.7348690032958984, 0.6477718353271484, 0.2741197943687439, -0.25537607073783875, -0.035613052546978, -0.05202525854110718, -0.21042650938034058, -0.746832787990570...
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to...
Yes
3
NIv2
task1198_atomic_classification_owant
fs_opt
[ 0.5270223617553711, -0.06029839068651199, 0.3446652293205261, -0.13618344068527222, -0.0469890795648098, -1.0517747402191162, 1.0928674936294556, 0.6649353504180908, -1.1627707481384277, -0.24860170483589172, -0.21918709576129913, -0.30515408515930176, -0.5279000401496887, 0.05846359208226...
Teacher: Translate from English to Hindi. Teacher: Now, understand the problem? If you are still confused, see the following example: Go to the employment office. Solution: रोजगार कार्यालय जाओ. Reason: The translation is accurate. Now, solve this instance: Along the way, I stopped, and I threw my gun into the Royal Ri...
रास्ते में रुककर अपनी बंदूक रॉयल नदी में फेंक दी.
2
NIv2
task1329_open_subtitles_en_hi_translation
fs_opt
[ -0.53425133228302, -0.18771156668663025, -0.15172697603702545, -0.19607235491275787, 0.1309935450553894, -0.6926318407058716, -0.4989689588546753, 0.27057796716690063, 0.09304828941822052, -0.3804348409175873, 0.3088102340698242, -0.46630194783210754, 0.2244081050157547, -0.182373046875, ...
Q: The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce' is a typo of the word 'nice'. (4) replaced letter in...
producre.
7
NIv2
task088_identify_typo_verification
zs_opt
[ -0.9005445241928101, 0.2518470287322998, 0.35800743103027344, 0.8405107259750366, 0.4705909788608551, -1.0445817708969116, 0.7891122102737427, 0.08517405390739441, -0.24249553680419922, 0.39331090450286865, 0.05124152451753616, -0.31585055589675903, -0.8164915442466736, -0.148187518119812,...
Detailed Instructions: You are given a statement written in Gujarati. 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 . See one example below: Problem: Statement: માલ (તા. છોટાઉદેપુર) <MASK> દેશના પશ્ચિમ ભાગમાં...
ભારત
4
NIv2
task946_wiki_cloze_gu_multiple_choice_question_answering
fs_opt
[ 0.7670847773551941, 0.8890013098716736, 0.3281911015510559, -0.5788722038269043, 0.03969702124595642, -0.2939088046550751, 0.23937425017356873, 1.1682026386260986, -0.4954327940940857, 0.23705428838729858, -0.47583261132240295, 0.22443164885044098, -0.19822387397289276, -0.2559574246406555...
You are given a sentence and a question. You're expected to write an **incorrect** answer to the given question, such that it is relevant to the given sentence. Your answer should not be completely out of context. Try to write short answers with one or two words. Q: Sentence: A huge bus and a little car were stopped a...
first little pig ****
4
NIv2
task1383_quarel_write_incorrect_answer
fs_opt
[ -0.053768888115882874, 1.10589599609375, 0.3596431016921997, -0.23704427480697632, -0.28273922204971313, -0.9958289265632629, 0.7678892016410828, 0.5174899101257324, 0.27810394763946533, 0.5220338106155396, -0.7214459776878357, 0.34221339225769043, -0.7069345712661743, -0.17821669578552246...
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ...
c
9
NIv2
task231_iirc_link_classification
fs_opt
[ 0.3736617863178253, 0.7477408051490784, -0.5609598755836487, -0.0672244280576706, 0.28887253999710083, -0.2289969027042389, 0.9090530872344971, 1.0116931200027466, -0.20742282271385193, 0.4548639953136444, 0.16282127797603607, -0.17076168954372406, -0.4152265191078186, -0.3115420937538147,...
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link]. Let me give you an example: Post: @Darkeph E...
Generic
8
NIv2
task338_hateeval_classification_individual_es
fs_opt
[ -0.5682773590087891, 0.3038637936115265, 0.22785457968711853, -0.08031311631202698, -0.3084700107574463, -0.9746818542480469, 0.8065049052238464, 0.8167929649353027, 0.03843804821372032, -0.20497621595859528, -0.4379979968070984, 0.5221149921417236, -0.6464786529541016, -0.4941014051437378...
Detailed Instructions: You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option . Problem:Statement: তিনি <MASK> (গোপালপুর-ভূঞাপুর) আসন থেকে ১৯৯৬ সালের জুন মাসের সপ্তম জাতী...
টাঙ্গাইল-২
8
NIv2
task945_wiki_cloze_bn_multiple_choice_question_answering
zs_opt
[ -1.0113931894302368, 0.8299871683120728, 0.041057802736759186, 0.28887006640434265, -0.5144898891448975, -0.6876883506774902, 0.6131627559661865, 0.20500850677490234, -0.22299276292324066, 0.28672465682029724, -0.38174328207969666, 0.46572524309158325, 0.025317877531051636, 0.1337192207574...
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish. "" E se você não nos deixar continuar com o nosso trabalho, "" convocarei uma conferência de imprensa aqui, "" agora mesmo, aqui nesta rua, "" e vamos dizer às pessoas que você olha para mim "da mesma forma que os ce...
Si no nos permite continuar nuestro trabajo, celebraré una conferencia de prensa aquí ahora mismo, en esta calle, y le diré a la gente que Ud. actúa como los censores en la era del socialismo real "". Entonces se preocupó un poco, y me pidió un compromiso.
0
NIv2
task1276_ted_translation_pt_es
zs_opt
[ -0.7194318175315857, 0.9054824113845825, 0.09164410829544067, -0.563166618347168, -0.5365065336227417, 0.20127646625041962, -0.08170747756958008, 0.9973397850990295, 0.6905503273010254, -0.1672137826681137, -0.47135812044143677, 0.19013895094394684, -0.13103927671909332, 0.2250146567821502...
Given a sentence, generate a most unlikely next statement. The next statement should not be logically relevant to the given context [Q]: After being taped, several red glitter bows are placed on top of the wrapping paper. On the counter, [A]: begins the cake and cut pieces of green paper. [Q]: She then begins cuttin...
lifts his hands apart.
5
NIv2
task454_swag_incorrect_answer_generation
fs_opt
[ -0.42804059386253357, 1.6680312156677246, -0.30364900827407837, 0.20314612984657288, -0.5555329322814941, -0.24710816144943237, -0.4104418158531189, 0.677459716796875, -0.41140541434288025, -0.2577374577522278, 0.5730471611022949, 0.22270037233829498, 0.07943951338529587, 0.042697168886661...
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish. Problem:Na verdade, penso que isto foi melhor exposto pela Marie Curie que disse que nós nunca reparamos naquilo que foi feito, mas apenas naquilo que ainda falta fazer. Solution:
De hecho, esto fue, creo, mejor dicho por Marie Curie quien dijo que nunca nos damos cuenta de lo que se ha hecho sino de lo que queda por hacer.
8
NIv2
task1276_ted_translation_pt_es
zs_opt
[ -0.6141251921653748, 1.1050608158111572, -0.4693447947502136, -0.18148380517959595, -0.7458492517471313, -0.43397802114486694, 0.5508428812026978, 1.4469990730285645, 0.09508812427520752, 0.27571940422058105, 0.4120755195617676, 0.11772777140140533, -0.20128849148750305, 0.0868055820465087...
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...
REQUEST_ALTS
3
NIv2
task880_schema_guided_dstc8_classification
fs_opt
[ 0.24283134937286377, 0.28449782729148865, 0.46373558044433594, 0.6781471967697144, 0.32502511143684387, -0.053142137825489044, -0.1378028243780136, 0.8556768298149109, 0.14747148752212524, 0.19783234596252441, -0.6608301997184753, -0.4848087430000305, -0.44075512886047363, 0.17923331260681...
In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the "True" label, and if not select "False" Example: فتوسنتز فرایندی زیست‌شیمیایی است که در آن، انرژی نورانی خورشید توسط گیاها...
Solution: True
5
NIv2
task396_persianqa_classification
fs_opt
[ 0.4306171238422394, -0.06704896688461304, -0.07781373709440231, 0.34796130657196045, -0.25473135709762573, 0.4866313338279724, 0.8918742537498474, 1.0740315914154053, -0.28725606203079224, 0.20665240287780762, -0.5643041729927063, 0.20050135254859924, -0.9489322900772095, 0.451597273349761...
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, ...
[32, 1024, 2048, 2048, 16, 64, 2, 16, 1024, 2048, 1024, 8, 64] ****
4
NIv2
task1444_round_power_of_two
fs_opt
[ -0.27094176411628723, 0.682317316532135, -0.1904403269290924, 0.03812430053949356, -0.05885976925492287, 0.19581323862075806, 0.8177961111068726, 0.38353338837623596, -0.3851124048233032, 0.23904679715633392, -0.81303870677948, 0.41837042570114136, -0.2321331948041916, -0.4577728509902954,...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish. Input: Consider Input: אתם צריכים להיות לחוצים. Output: Necesitamos la presión y sentirnos ansiosos Input: Consider Input: והבלט הזה נשלט ע "" י הגברת פה. Output: Y este ballet lo controla esta dama de aquí. Input: Con...
Output: (Video) Asi que es el día 22.
2
NIv2
task1236_ted_translation_he_es
fs_opt
[ -0.8630205392837524, 0.8916884660720825, -0.11408688127994537, 0.17273671925067902, -0.2794121503829956, -0.43103814125061035, 0.17670103907585144, 0.22473928332328796, 0.931258499622345, -0.6075431108474731, -0.4919341206550598, 0.3660736382007599, -0.6668670177459717, -0.1039166375994682...
TASK DEFINITION: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence. PRO...
No
8
NIv2
task114_is_the_given_word_longest
fs_opt
[ 0.28604280948638916, 0.9224790334701538, 0.13689205050468445, 0.22383631765842438, 0.1177796944975853, -0.42855551838874817, 0.2492257058620453, 0.7289301156997681, -0.13250115513801575, -0.39153724908828735, -0.15534305572509766, -0.02480495162308216, -0.010212356224656105, 0.003670938545...
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician. Teacher: Now, understand the problem? Solve this instance: (Risate) Ho visto una Aston Martin questa mattina, Student:
(Risos) Vin un Aston Martin esta mañá.
6
NIv2
task1252_ted_translation_it_gl
zs_opt
[ -0.1148492842912674, 0.30344679951667786, 0.16704213619232178, -0.7469326257705688, -0.6561713218688965, -0.5424880981445312, -0.34946489334106445, 0.510534405708313, -0.10412366688251495, 0.021307222545146942, -0.07194578647613525, -0.22724351286888123, -0.5711385011672974, -0.08773597329...
The answer will be 'yes' if the provided sentence contains an explicit mention that answers the given question. Otherwise, the answer should be 'no'. Instances where the answer is implied from the sentence using "instinct" or "common sense" (as opposed to being written explicitly in the sentence) should be labeled as '...
Yes.
0
NIv2
task020_mctaco_span_based_question
zs_opt
[ -0.7428015470504761, 0.25567275285720825, -0.1302778422832489, 0.6622123718261719, -0.23216815292835236, -1.5860583782196045, 0.649506688117981, 0.3921200633049011, -0.05053691565990448, -0.5343867540359497, -0.18144282698631287, -0.5342543721199036, -0.9100781679153442, -0.030594842508435...
Given the task definition, example input & output, solve the new input case. 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 upperc...
I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT
1
NIv2
task128_scan_structured_text_generation_command_action_short
fs_opt
[ 0.1009027436375618, 1.0322275161743164, -0.3479464054107666, 0.3913307189941406, 0.14884090423583984, 0.4135738015174866, 0.052860669791698456, 0.3052355647087097, -0.20156708359718323, -0.48817968368530273, -0.8873904943466187, -0.25375282764434814, -0.44075387716293335, -0.31252014636993...
Given the task definition, example input & output, solve the new input case. You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese. Example: Media łączyły się z nami. Output: Os "" media "" interligavam-se connosco. The Polish sentence is correctly translated into Portugese, be...
Tem cerca de três milímetros no meio do cérebro.
1
NIv2
task1264_ted_translation_pl_pt
fs_opt
[ 0.17134781181812286, 0.9614789485931396, -0.1312844604253769, -0.3421665132045746, 0.09244921803474426, 0.038769107311964035, 0.32697534561157227, 0.07159929722547531, 0.0812344029545784, -0.18282614648342133, -0.4565249979496002, 0.8207027912139893, -0.2244964838027954, -0.165584206581115...
Definition: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event....
Yes
2
NIv2
task1199_atomic_classification_xattr
zs_opt
[ 0.16371314227581024, -0.14158567786216736, 0.35820624232292175, -0.0778275802731514, -0.472565233707428, -1.124698281288147, 0.7492313981056213, 0.23600691556930542, -0.5957384705543518, -0.1503167748451233, -0.7343493700027466, -0.4098385274410248, -0.7406476736068726, 0.11022019386291504...
In this task, you are given a sentence in Polish language and its corresponding English translation. Here, your job is to output label "yes" if the translation is correct, otherwise output "no". One example: Polish: będzie to parabola, która wygląda mniej więcej tak… wygląda jakoś tak… English: this is gonna be a par...
no
6
NIv2
task832_poleval2019_mt_classification
fs_opt
[ -0.48086708784103394, 0.8454793691635132, 0.7908474206924438, 0.11142539978027344, -0.05247610807418823, -0.7769121527671814, 0.830237865447998, -0.049471184611320496, 0.25026941299438477, -0.2555605471134186, -0.07560472935438156, 0.9358789324760437, -0.965339183807373, 0.3442111611366272...
Q: Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4. Heart attacks cause some tissue death within ____ minutes and brain death within eight minutes. A:
four
7
NIv2
task1359_numer_sense_answer_generation
zs_opt
[ 0.5789772272109985, 0.818443238735199, -0.36212262511253357, -0.40621450543403625, -0.24532273411750793, -0.7621141076087952, 0.5868133902549744, 0.1379457265138626, -0.09350784122943878, -0.084929920732975, -0.1067359521985054, -0.6188284158706665, -0.37737321853637695, -0.252627074718475...
Instructions: You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0. Input: System Reference: please confirm you are looking for th...
0
3
NIv2
task1284_hrngo_informativeness_classification
zs_opt
[ -1.0655570030212402, 0.8594797253608704, -0.792998731136322, -0.0013114800676703453, -0.3182344436645508, -1.5300339460372925, 1.0699543952941895, 0.09255628287792206, 0.054247114807367325, -0.4072568714618683, -0.4162634313106537, 0.25710931420326233, -0.7150852680206299, -0.0715814977884...
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 tweet and you must identify whether the tweet contains any offense or any form of (untargeted) profanity. Label the post as NOT if the post does not contain offense or pr...
NOT
0
NIv2
task286_olid_offense_judgment
fs_opt
[ -0.9630697965621948, 0.7534767389297485, 0.5422958135604858, 0.6360576152801514, -0.21077220141887665, -0.447216659784317, 0.38731318712234497, 0.28289878368377686, 0.5013366341590881, -0.0757899135351181, 0.13330672681331635, -0.02388296276330948, -0.45625507831573486, -0.6773681640625, ...
Definition: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to ...
Where did Henri Le Rond live at the end of World War I?
2
NIv2
task235_iirc_question_from_subtext_answer_generation
zs_opt
[ -0.25122612714767456, 0.4764959514141083, -0.30052563548088074, 0.2690674066543579, 0.018865233287215233, 0.07758596539497375, 0.3093177080154419, 0.47018012404441833, 0.13043713569641113, -0.6530556678771973, -0.7583049535751343, -0.1360267549753189, -0.673841118812561, 0.3163228034973144...
You will be given a definition of a task first, then some input of the task. You are given a sentence in Persian. Your job is to translate the Farsi sentence into English. همیشه این خطر را درد که چیزی شبیه این بر روی صحنه کار نکند ، درسته ؟ Output:
You always take the risk that something like this won't work onstage, right?
1
NIv2
task1265_ted_translation_fa_en
zs_opt
[ -0.4707234501838684, 1.01450777053833, 0.17067834734916687, -0.13044321537017822, -0.4560403823852539, 0.24810582399368286, 0.8798736929893494, 0.27605587244033813, 0.5326013565063477, 0.10458192229270935, -0.20523717999458313, 0.32988375425338745, -0.3775908052921295, -0.01526781637221574...
TASK DEFINITION: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph. PROBLEM: Context: Tried protecting generator from shrapnel with sand bags. Attacks have destroyed emergency rooms, entire hospitals....
you are better off selling, then sell
8
NIv2
task239_tweetqa_answer_generation
fs_opt
[ 0.06036807596683502, 0.46037253737449646, -0.5291396379470825, 0.08344404399394989, -0.40838930010795593, -0.4691082239151001, 0.7080294489860535, 0.9474647641181946, 0.12900063395500183, 0.07553397864103317, -0.6755625009536743, 0.29507333040237427, -0.033814437687397, -0.3548536598682403...
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian. Nestes termos, é fácil perceber porque é que Edward Teach e os seus colegas piratas poderiam ser vistos como pioneiros do design de comunicação moderno, e porque é que o seu símbolo mortífero... (Risos) — há mais — p...
Detto così, è facile vedere perché Edward Teach e i suoi pirati possano essere visti come dei pionieri del moderno design della comunicazione e perché il loro simbolo di morte — (Risate) c'è di più — perché il simbolo di morte del teschio e delle ossa fosse un precursore dei marchi di oggi, un po 'come le grandi letter...
0
NIv2
task1280_ted_translation_pt_it
zs_opt
[ -0.7211757302284241, 0.4294068217277527, -0.3136611580848694, -0.9010482430458069, -0.1732531636953354, -0.6865780353546143, 0.10538855195045471, 0.8038843274116516, -0.010621190071105957, -0.19216102361679077, -0.05038871988654137, 0.31685155630111694, -0.12828725576400757, 0.097486302256...
You are given a question title. You need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - 'Family & Relationships', 9 - 'Politics...
5
0
NIv2
task1592_yahoo_answers_topics_classfication
fs_opt
[ 0.37628352642059326, 0.4397512674331665, -0.25345829129219055, 0.41809746623039246, -0.015383382327854633, 0.3420521914958954, -0.3135296404361725, -0.2115778625011444, 0.10592673718929291, -0.5054999589920044, 0.008162012323737144, 0.6315995454788208, -0.7046560049057007, -0.5394085645675...
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. 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. [EX Q]: 2, 11, ['s', 'y', 'A', 'a', ...
8079
6
NIv2
task091_all_elements_from_index_i_to_j
fs_opt
[ -0.27193504571914673, -0.14805248379707336, -0.493633896112442, -0.16324681043624878, -0.24945157766342163, -0.5639867186546326, 0.8707515001296997, 0.26355627179145813, -0.683612585067749, 0.18567147850990295, -0.5596156716346741, 0.23303629457950592, 0.04253420978784561, -0.0896438062191...