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In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list. Example Input: ['i', '9575', '8995', 'm', 'o', '3015', '4005', ...
b, f, h, i, p, q, s, t, u, w, y
3
NIv2
task636_extract_and_sort_unique_alphabets_in_a_list
fs_opt
[ -0.09688324481248856, -0.18536798655986786, -0.4291360378265381, 0.19659143686294556, 0.32355713844299316, -0.5326715707778931, 0.5397753715515137, 0.49525099992752075, -0.5923047661781311, 0.2829446792602539, -0.6852597594261169, -0.1443062275648117, -0.45819994807243347, 0.06279258430004...
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi. Unha boa maneira de comezar é co refugallo.
خب جای خوب برای شروع ، ضایعات هستند.
5
NIv2
task1245_ted_translation_gl_fa
zs_opt
[ -0.6768203377723694, 1.2916324138641357, 0.21693915128707886, -0.5701874494552612, -0.17311212420463562, -0.569778561592102, 0.6017982959747314, 0.20160897076129913, -0.040589768439531326, 0.156849205493927, -0.8282320499420166, 0.6310412883758545, -0.5946553945541382, 0.4129478335380554, ...
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surpris...
No emotion,No emotion,No emotion
9
NIv2
task1532_daily_dialog_emotion_classification
fs_opt
[ 0.3466372489929199, 0.3202897906303406, -0.31361761689186096, -0.7680636048316956, -0.014261561445891857, -0.9584586024284363, 0.9782348871231079, 0.37457162141799927, -0.090232715010643, -0.21747234463691711, -0.7716585397720337, -0.4302871525287628, -1.0249881744384766, 0.117777474224567...
You will be given a definition of a task first, then some input of the task. 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 in...
d
1
NIv2
task231_iirc_link_classification
zs_opt
[ 0.769089937210083, 0.8915051817893982, -0.9639296531677246, -0.14696398377418518, 0.6091042757034302, -0.5120781064033508, 0.23552393913269043, 0.06959858536720276, 0.1677071750164032, -0.42803940176963806, -0.5709125995635986, 0.9298625588417053, -0.7787160873413086, -0.0968688428401947, ...
Detailed Instructions: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment. Problem:Incredibly, the top hatch of the tank opened and a blond haired man stuck his head out. Solution:
Singular
8
NIv2
task430_senteval_subject_count
zs_opt
[ -0.3090336322784424, 0.34397178888320923, 0.38512754440307617, -0.2773974537849426, -0.5780866146087646, -0.7248088717460632, 1.123108148574829, -0.2528908848762512, -0.07448644191026688, -0.10936988145112991, -0.6338106989860535, -0.28643760085105896, -0.9759620428085327, 0.16077561676502...
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation. One examp...
Identity-attack
9
NIv2
task325_jigsaw_classification_identity_attack
fs_opt
[ -0.05856163799762726, 0.1691039502620697, 0.4862510561943054, 0.6133476495742798, 0.23666927218437195, -0.37036222219467163, 0.8044297099113464, 0.5098428726196289, 0.02008335292339325, 0.8003426790237427, 0.4590948820114136, 0.34107646346092224, -0.4634605050086975, -0.2636663019657135, ...
Detailed Instructions: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Fo...
WRB JJ IN DT NNS VBP VBN IN DT NNP NNP NN .
9
NIv2
task345_hybridqa_answer_generation
zs_opt
[ 0.24998629093170166, 0.09790598601102829, 0.003082685638219118, 0.011978349648416042, -0.30284154415130615, -0.8375518321990967, 1.0110981464385986, 0.5570827722549438, -0.379413366317749, -0.030266694724559784, 0.1581173837184906, 0.33197563886642456, -0.3255684971809387, 0.23364521563053...
Detailed Instructions: A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence. Problem:आंतरराष्ट्रीय होमेजेस्‌ विभागात टेरेन्स मार्श, मिलोस फोरमॅन आणि ऍनी व्ही कोटेस यांना श्रद्धांजली अर्पण करण्यात येणार आहे. ...
In the International Homages this year we will pay tribute to Terence Marsh, Milos Forman, and Anne V Coates.
8
NIv2
task1086_pib_translation_marathi_english
zs_opt
[ 0.7171300053596497, 0.40285855531692505, 0.14565284550189972, 0.6280918717384338, -0.14416001737117767, -1.0417462587356567, 0.6493977308273315, -0.331703245639801, -0.07301271706819534, 0.07073736190795898, -0.500082790851593, 0.4165459871292114, -0.2554176449775696, 0.4669584035873413, ...
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice...
Solution: 3
5
NIv2
task200_mnli_entailment_classification
fs_opt
[ 0.6687561273574829, 0.028260130435228348, -0.5961264371871948, -0.41973817348480225, 0.5273520946502686, -0.41552919149398804, 0.43386900424957275, 0.7892640829086304, 0.29094257950782776, -0.3646290898323059, -0.5428918600082397, 0.0866115465760231, -0.3787970244884491, -0.420778751373291...
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum. Input: Consider Input: ['o', 'a', 'K', '6031'] Output: 6031 Input: Consider Input: ['t', 'G', '217', 'W', 'l', 'j', 'd', 'U', '6795', '1609', 'n', '6919', '617', '5753'] Output: 2191...
Output: 33893
2
NIv2
task499_extract_and_add_all_numbers_from_list
fs_opt
[ -0.007838733494281769, 1.0803167819976807, -0.6339477300643921, -1.2395732402801514, -0.36485645174980164, 0.18772479891777039, 0.18726256489753723, -0.1118389219045639, -0.5630902051925659, 0.1975063532590866, -0.8145067691802979, -0.0652136281132698, 0.1700270026922226, -0.26446288824081...
Q: 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...
No
7
NIv2
task1199_atomic_classification_xattr
zs_opt
[ 0.8238527774810791, 0.3762911558151245, 0.5975853204727173, -0.04494742304086685, -0.6927237510681152, -0.89702308177948, 1.228411078453064, 0.5265042781829834, -0.8165146112442017, -0.369958758354187, -0.2633720934391022, -0.5429226160049438, -0.4452555179595947, 0.5752871632575989, 0.7...
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list [EX Q]: ['9465', 'I', '2459', '4053', '1183'] [EX A]: 1 [EX Q]: ['M', 'O', ...
19
6
NIv2
task504_count_all_alphabetical_elements_in_list
fs_opt
[ 0.289640873670578, 0.23533284664154053, -0.58156418800354, -0.19776876270771027, -0.047242745757102966, -1.0789304971694946, 0.6466037631034851, 0.48712635040283203, -0.8953543305397034, 0.3452828824520111, -0.6101921796798706, 0.04732583463191986, -0.04599166661500931, 0.04825492203235626...
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian. See one example below: Problem: Aquí esta la medusa ala-x de la muerte. Solution: Qui c'è la medusa mortale con le ali ad X. Explanation: The Spanish sentence is correctly translated into Italian, bec...
Ho lavorato con un biologo sintetico, e ho creato un profumo che si ingoia, ossia una pillola cosmetica che si mangia e la fragranza fuoriesce dalla superficie della pelle quando traspirate.
4
NIv2
task1101_ted_translation_es_it
fs_opt
[ -0.22252780199050903, 0.9273727536201477, -0.5405828952789307, -0.28103604912757874, -0.8219826221466064, -0.6663780212402344, 0.0628192350268364, 1.0109262466430664, 0.09864571690559387, 0.10711950808763504, -0.30849361419677734, 0.290198415517807, -0.08987107872962952, 0.3580037951469421...
Part 1. Definition You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese. Part 2. Example A ideia é muito, muito simples. Answer: このアイデアはとてもシンプルで Explanation: The Portugese sentence is correctly translated into Japanese, because the meaning is preserved. Part 3. Exercise...
この革新的な装置は異なるタンパク質の分子を異なる色で光らせコンピュータ処理によりとてもとてもぼやけた画像を非常にくっきりした点に変え前例のない目を見張るような鮮明な画像を映し出しました
7
NIv2
task1275_ted_translation_pt_ja
fs_opt
[ -0.17210477590560913, 0.6122384667396545, 0.13488343358039856, -0.42997846007347107, -0.2416931837797165, -0.453926682472229, 0.5850460529327393, 0.5916563272476196, 0.5297622084617615, -0.6512349843978882, -0.916181206703186, -0.3294367790222168, -0.4343048334121704, 0.1219434142112732, ...
Given a sentence, generate a new 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 being true. [Q]: Th...
You are likely to find a network of information in a newspaper .
5
NIv2
task413_mickey_en_sentence_perturbation_generation
fs_opt
[ 0.40954846143722534, 0.4767398238182068, -0.30951982736587524, -0.18305808305740356, 0.3348938822746277, -0.4472805857658386, 0.1719786524772644, 0.7093527317047119, -0.15453360974788666, 0.19128303229808807, -0.9427292346954346, 0.03345932066440582, -0.816364049911499, -0.0669598430395126...
You will be given a definition of a task first, then some input of the task. The goal of this task is to translate questions in Catalan into English. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question Què és el...
What is the NASUWT?
1
NIv2
task1676_xquad-ca_translation
zs_opt
[ -0.26132553815841675, 0.639138400554657, 0.5011477470397949, -0.09173013269901276, -0.13138781487941742, -0.25077545642852783, 0.6410869359970093, -0.4418419897556305, -0.42268258333206177, 0.4837493896484375, -0.04761305823922157, 0.01981290802359581, -0.5147795677185059, -0.3579296469688...
Part 1. Definition In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article. Part 2. Example Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libr...
Which of the following is most likely not to be a form of e-waste?
7
NIv2
task311_race_question_generation
fs_opt
[ 0.5805691480636597, 0.416822224855423, -0.4798656702041626, -0.11797015368938446, 0.9820036292076111, 0.1462714672088623, 0.527778685092926, 0.4691372513771057, 0.014676942490041256, 0.23544731736183167, -0.18317359685897827, 0.6855543851852417, -0.9457782506942749, 0.25062596797943115, ...
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A. Q: ['3477', '3961', 'R', '1943', 'L', 'd', '8509', 'b', 'E', '5275', '2169', 'l', 'F', '8079', '997', '2783', 'r', '2313', 'g', 'u'] A:
3477, 3961, 1943, 8509, 5275, 2169, 8079, 997, 2783, 2313
9
NIv2
task497_extract_all_numbers_from_list_in_order
zs_opt
[ -0.4712032079696655, 0.1713898479938507, -0.2658361792564392, -0.6828712224960327, -0.28906452655792236, 0.020494943484663963, 0.6700623035430908, -0.23678261041641235, -0.5063965320587158, 0.29714086651802063, -1.3434486389160156, -0.2070033699274063, 0.12622404098510742, 0.23382264375686...
Teacher: In this task, you are given an answer, and your task is to generate a reasonable question for that answer. Teacher: Now, understand the problem? If you are still confused, see the following example: My stomach will be upset if i eat that. Solution: Do you like pineapple on your pizza? Reason: The answer given ...
Do you like playing sports?
2
NIv2
task568_circa_question_generation
fs_opt
[ 0.1384241133928299, -0.16568392515182495, 0.3456555902957916, 0.014182229526340961, 0.3626258373260498, -0.8302350044250488, 0.04729049280285835, 0.44162097573280334, -0.02981080859899521, -0.48926225304603577, -0.27965158224105835, -0.040208593010902405, -1.2570420503616333, -0.5213831663...
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words. One example is below. Q: But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of view. Her comments were criticis...
Plaid Cymru pledges independence vote if it wins Senedd election
9
NIv2
task1356_xlsum_title_generation
fs_opt
[ 0.37656962871551514, 1.2722996473312378, -0.12559765577316284, -0.5236206650733948, 0.6587339043617249, -0.7429423332214355, 0.3819064497947693, 0.7737389802932739, -0.23667247593402863, 0.32186657190322876, 0.3468438386917114, 1.0760681629180908, -0.16149401664733887, 0.4468115568161011, ...
Given the task definition and input, reply with output. In this task, you are to Translate German text to English Durch den Auftrieb stößt der Schwimmer (6) gegen die Unterseite der Siebplatte (2) und verhindert dadurch die Überfüllung des Behälters (25).
Upward lift will raise the float (6) until it abuts against the underside of the mesh bottom plate (2), thereby preventing the container (25) from being overfilled.
5
NIv2
task841_para_pdt_de_en_translation
zs_opt
[ -0.2763993740081787, 0.9607584476470947, 0.2638394236564636, -0.024786530062556267, -0.00583600951358676, -0.09924894571304321, -0.10282016545534134, 0.4056263566017151, -0.19714197516441345, 0.1429225504398346, 0.5544759631156921, 0.278279185295105, -0.5055657625198364, -0.297020256519317...
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'. Example: Sentence 1: No Weapons of Ma...
Solution: 1
5
NIv2
task1344_glue_entailment_classification
fs_opt
[ -0.175950288772583, 0.3129313886165619, -0.8614487051963806, -0.11469602584838867, -0.2871395945549011, -0.7804814577102661, 0.4969545006752014, 0.799141526222229, 0.46313872933387756, 0.15354236960411072, -0.9438319802284241, 0.7446171641349792, -0.6366667747497559, 0.5098769664764404, ...
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. Let me give you an example: What can one do after MBBS? The answer to this example can be: What do i do after my MBBS ? Here is why: In this example both the ...
What are some of the hidden gems of Chiang Mai that are off the beaten track?
8
NIv2
task1345_glue_qqp_question_paraprashing
fs_opt
[ -0.09250178933143616, 0.12430644780397415, -0.39146870374679565, 0.07829391211271286, -0.6437867283821106, -0.4389307498931885, 0.28488072752952576, 0.21689805388450623, 0.06112554669380188, 0.2475673407316208, -0.22939960658550262, 0.17590931057929993, 0.1651027798652649, 1.00840139389038...
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No". [EX Q]: Sentence-1: I ate a bag of peanuts a few minutes ago.<sep>Sentence-2: I have eaten . [EX A]: Yes [EX Q]: Sentence-1: Depends on the restaurant.<sep>Sen...
Yes
6
NIv2
task566_circa_classification
fs_opt
[ 0.011760452762246132, 0.03576880693435669, 0.17834147810935974, 0.13768525421619415, -0.2751629948616028, -0.5243880748748779, 0.14445482194423676, 0.8391885757446289, -0.30639681220054626, -0.10506238043308258, -0.3001938462257385, -0.6974170207977295, -0.7102264165878296, -0.256445050239...
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix...
4553581403 ****
4
NIv2
task1443_string_to_number
fs_opt
[ -0.4995324909687042, 1.3735508918762207, -0.6610498428344727, -1.2079981565475464, -0.6859198212623596, -0.11590688675642014, 1.089882493019104, 0.1736382246017456, -0.18495285511016846, -0.09226750582456589, -1.0253691673278809, 0.495618999004364, -1.247639536857605, -0.16055768728256226,...
Given the task definition, example input & output, solve the new input case. In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct. Example: Ulwakhiwo neempawu zentsinga zemifuno. Output: Construction and cha...
This means it will not deal with air or air and water.
1
NIv2
task873_opus_xhosanavy_translation_xhosa_eng
fs_opt
[ -0.21008196473121643, 0.4126681685447693, 0.33550697565078735, 0.06870581209659576, -0.03949493169784546, -0.15690283477306366, 0.9272785186767578, 0.12137848138809204, -0.1492561399936676, -0.07821391522884369, 0.1698230504989624, -0.36481332778930664, -0.2632819712162018, 0.0201773587614...
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words ar...
['our', 'goal', 'is', 'to', 'calculate', 'the', 'molar', 'solubility', 'of', 'lead', 'two', 'chloride,', 'which', 'is', 'a', 'slightly', 'soluble', 'compound', 'and', "we're", 'given', 'the', 'solubility', 'product', 'constant,', 'Ksp,', 'which', 'is', 'equal', 'to', '1.6', 'times', '10', 'to', 'the', 'negative', 'five...
0
NIv2
task1415_youtube_caption_corrections_grammar_correction
zs_opt
[ 0.8332475423812866, 0.3209460377693176, -0.3448694348335266, -0.3321866989135742, 0.19055190682411194, -0.8616942763328552, 0.3938393294811249, 0.5821236371994019, -0.3907117545604706, 0.2728051245212555, -0.21431690454483032, -0.36670470237731934, -0.4938125014305115, -0.1628589630126953,...
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence. [EX Q]: சவோம்பங்கில் இந்திய உணவு கழகத்தின் உணவு சேமிப்பு கிடங்கு, தோளைதாபி குறுக்கு அணைத் திட்டம் மற்றும் பல்வேறு நீர் விநியோகத் திட்டங்களையும் சுற்றுலா த...
এ বছরের ফেব্রুয়ারি মাসে আমাদের বিদেশমন্ত্রীদের বৈঠকে বিভিন্ন বিষয়ে মত-বিনিময় হয়েছে।
6
NIv2
task982_pib_translation_tamil_bengali
fs_opt
[ 0.2493346929550171, 0.058221593499183655, -0.29385361075401306, 0.33583685755729675, -0.6543606519699097, -0.7087571620941162, 0.753092885017395, 0.46059316396713257, -0.23757953941822052, -0.2783839702606201, -0.39149436354637146, 0.5806872844696045, -1.0110092163085938, 0.005400793626904...
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". [Q]: Japanese: バングラデシュ気象庁は、地震がバングラデシュ第二の都市である南の港チタゴングを襲ったという声明を出した。 Lao: ພະນັກງານກອງທຶນຊ່ວຍເຫລືອຄົນໜຶ່ງ ເຊິ່ງໄດ...
No
5
NIv2
task1126_alt_ja_lo_answer_generation
fs_opt
[ -0.8377718925476074, -0.4208869934082031, 0.014614657498896122, -0.11096303910017014, 0.17797012627124786, -0.925803542137146, 1.0936850309371948, 0.7842689752578735, -0.34264206886291504, -0.29280370473861694, -0.5131620168685913, 0.5788467526435852, -0.4650454521179199, 0.572241723537445...
Part 1. Definition In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer". Part 2. Example Hello. How may I aid you today? Answer: agent Explanation: This is a pretty straightforward dialogue, a...
agent
7
NIv2
task575_air_dialogue_classification
fs_opt
[ -0.6188626885414124, 0.7885850667953491, 0.13558797538280487, -0.702019453048706, 0.12641245126724243, 0.4454788863658905, 1.2300173044204712, -0.13816934823989868, 0.32121482491493225, 0.016159402206540108, -0.7479963302612305, -0.1862112581729889, -0.7671500444412231, -0.2155392169952392...
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub...
True
8
NIv2
task1187_politifact_classification
fs_opt
[ -0.0776161402463913, 0.23436349630355835, -0.025476062670350075, 0.16779537498950958, -0.5092482566833496, -1.1197773218154907, 0.7637085914611816, 0.14508461952209473, 0.20509254932403564, 0.22925981879234314, -0.7033548355102539, 0.2193385809659958, -0.3959512710571289, 0.118417024612426...
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct. [Q]: While this exists, use must be made of several different technical solutions to the problems of ship design and port equipment. [A]: Ngelixesha len...
Iintsontelo zokulawula iiseyile kufuneka zisoloko zigcinwe ezandleni (zingalaliswa phantsi).
5
NIv2
task872_opus_xhosanavy_translation_eng_xhosa
fs_opt
[ 0.16089600324630737, 0.8594416379928589, 0.07791677862405777, -0.9037302136421204, -0.09296005964279175, -1.1261887550354004, 0.7404650449752808, 0.9133388996124268, 0.5468035936355591, -0.3200955390930176, 0.19520622491836548, 0.07921423017978668, -0.3116764426231384, 0.08349795639514923,...
Detailed Instructions: 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 of a five-sentence story. The premise is the first sent...
Michelle decided to try the racing game. Her friends stood by to encourage her to win. She made it to the last level and won a lot of tickets as a prize.
9
NIv2
task269_csrg_counterfactual_story_generation
zs_opt
[ -0.37608233094215393, 0.40575581789016724, 0.03537615016102791, -0.17527809739112854, -0.15572968125343323, -0.6342832446098328, 0.05758317559957504, 0.8531371355056763, -0.10500025749206543, -0.44593217968940735, -0.3386530876159668, -0.3676410913467407, 0.14226314425468445, 0.1708984375,...
Detailed Instructions: In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible". Q: the woman took h...
not plausible
9
NIv2
task392_inverse_causal_relationship
zs_opt
[ -0.8062112927436829, 0.9041529893875122, 0.24801281094551086, -0.47734490036964417, -0.054580774158239365, -0.4792611002922058, 0.6103503704071045, 0.9847569465637207, 0.33753418922424316, -0.2702985405921936, -0.36765265464782715, 0.3831399083137512, -0.5840426683425903, -0.39428424835205...
instruction: In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command. Here are the definitions of logical operators: 1. count: returns the number of rows in the view 2. only: ...
select the rows whose team record fuzzily matches to wauters motorsports . take the rounds record of this row . select the rows whose team record fuzzily matches to turner scott motorsports . take the rounds record of this row . the first record is greater than the second record .
9
NIv2
task110_logic2text_sentence_generation
fs_opt
[ 0.3175489902496338, -0.2510923147201538, -0.5168673396110535, 0.13418757915496826, 0.2944462299346924, -0.6058623790740967, 0.4131161570549011, 0.341280460357666, -0.08151161670684814, -0.329238623380661, -0.49995362758636475, 0.022826600819826126, 0.30587732791900635, 0.4880231022834778, ...
Q: Given a statement, generate a question such that the answer is contained in that statement. Complex chemistry is needed to carry out cell division and reproduction A:
What is needed to carry out cell division and reproduction?
7
NIv2
task1580_eqasc-perturbed_question_generation
zs_opt
[ -0.11651611328125, 0.847724437713623, -0.4002183973789215, -0.36640992760658264, -0.35887467861175537, -0.3040393590927124, -0.46434885263442993, 0.7687060236930847, -0.2711651027202606, -0.4781333804130554, -0.46033477783203125, -0.6019593477249146, -1.2173540592193604, 0.8952937722206116...
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency. What did Iqbal fear would weaken the spiritual foundations of Islam and Muslim s...
proper
0
NIv2
task1623_disfl_qa_disfluent_question_classification
fs_opt
[ 0.6065062284469604, 0.34618914127349854, 0.4338814318180084, 0.18709054589271545, 0.1515865921974182, 0.01322459988296032, 1.0680112838745117, -0.759269118309021, -0.10631975531578064, -0.05620618537068367, -1.0456173419952393, -0.3950968384742737, -0.8104188442230225, 0.31080037355422974,...
Detailed Instructions: In this task, given a sentence in the English language, your task is to convert it into the Thai language. Q: Oscar Peterson, a Canadian jazz pianist who earned many honours during his decades-long career, died Sunday in Mississauga, Ontario aged 82. A:
Oscar Peterson นักเปียโนแจ๊สชาวแคนาดาผู้ได้รับเกียรติยศมากมายตลอดช่วงสิบปีในอาชีพ เสียชีวิตเมื่อวันอาทิตย์ที่เมือง Mississauga รัฐ Ontario ในวัย 82 ปี
9
NIv2
task551_alt_translation_en_th
zs_opt
[ 0.1590900868177414, 0.420218288898468, -1.0996086597442627, -0.14112921059131622, 0.7027243375778198, -1.4822512865066528, 0.3701787292957306, -0.7046071887016296, 0.5686821937561035, 0.9635145664215088, 0.3403244614601135, 0.13300159573554993, 0.16804379224777222, 0.103547103703022, 1.1...
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese. Input: ט.ד: מאז שהיינו פה השבוע, אנחנו לקחנו מיליוני נשימות, ביחד, ואולי אנחנו לא חווינו שנויי מסלול בחיים שלנו, אבל רוב הזמן אנחנו מפספסים את השינוי העדין. Output:
今週私たちはここに集まって合わせて何百万もの呼吸をしましたがおそらく私たちの目の前で人生が変わるほどのことは起きていないでしょう私たちはかすかな変化を見逃しがちです
3
NIv2
task1235_ted_translation_he_ja
zs_opt
[ -0.8256754875183105, 0.26465529203414917, -0.35299956798553467, -0.47921866178512573, -0.13534052670001984, -0.5124027729034424, 0.4711173176765442, -0.33474159240722656, 0.42570629715919495, -0.2781003713607788, -0.10112922638654709, 0.10341265797615051, -0.4108206033706665, 0.56210780143...
Detailed Instructions: 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 should be returned. Zero is divisible by 3. Q: [87, -42, 13, -36, -85, -22] A:
[13, -85, -22]
9
NIv2
task370_synthetic_remove_divisible_by_3
zs_opt
[ -0.3530905246734619, 0.2581304609775543, -0.49829423427581787, -0.7115465998649597, 0.22070859372615814, -0.1367727518081665, 1.0240024328231812, -0.42689400911331177, -0.4459596276283264, -0.05168746039271355, -0.4507952630519867, 0.13496796786785126, 0.13161605596542358, -0.2530912756919...
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence. Q: Sentence: 'a television monitor is above two bathroom urinals'. Count the number of consonants in the given sentence. A:
23
4
NIv2
task157_count_vowels_and_consonants
zs_opt
[ 0.2092573195695877, 0.49947917461395264, -0.9187576770782471, -0.30717894434928894, 0.10180550813674927, 0.24681837856769562, -0.58610999584198, 0.658799409866333, -0.10674569010734558, -0.4100126326084137, -0.29099228978157043, -0.23382830619812012, -0.34469205141067505, -0.31376245617866...
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ...
Two bikers are racing fast.
5
NIv2
task184_snli_entailment_to_neutral_text_modification
fs_opt
[ -0.5115423202514648, 0.3510463237762451, -0.055390749126672745, -0.21644000709056854, -0.2535030245780945, -0.3400929570198059, -0.12169501930475235, 0.7649203538894653, 0.5505337715148926, -0.47856929898262024, -1.0999184846878052, -0.17658771574497223, -0.32751643657684326, -0.0028750326...
Given the task definition, example input & output, solve the new input case. In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words. Example: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sent...
2
1
NIv2
task163_count_words_ending_with_letter
fs_opt
[ -0.5672498345375061, 0.9057024717330933, -0.8304730653762817, -0.684977650642395, 0.29980915784835815, 0.5584973096847534, 0.1663510948419571, 0.8792813420295715, 0.6030955910682678, -0.4384438991546631, -0.33114784955978394, 0.11868700385093689, 0.1726056933403015, -0.3763778805732727, ...
TASK DEFINITION: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character. PROBLEM: xexeeeeeeeexeee SOLUTION: exeee...
eehhhee
8
NIv2
task850_synthetic_longest_palindrome
fs_opt
[ -0.1604337990283966, 0.9402497410774231, -0.36887356638908386, -0.27058207988739014, -0.40813297033309937, -0.25528544187545776, 1.1332677602767944, -0.17497064173221588, 0.1226424127817154, 0.009845465421676636, -0.4598856270313263, -0.17161133885383606, -0.8469468355178833, 0.31656897068...
Part 1. Definition In this task, given a sentence in the Chinese language, your task is to convert it into the English language. Part 2. Example 2004年4月,那里的士兵逮捕了一名16岁的巴勒斯坦人,他身上绑着一枚自杀式炸弹。 Answer: In April 2004, soldiers there arrested a 16-year-old, also Palestinian, with a suicide bomb strapped to his body. Explanation...
Two people have been arrested in Cheshire in connection with the Glasgow International Airport attack and attempted London car bombings.
7
NIv2
task535_alt_translation_ch_en
fs_opt
[ 0.5276656150817871, 0.6615556478500366, -0.23055246472358704, -0.701723575592041, 0.03540115803480148, -0.02645324356853962, 0.30375513434410095, 0.4927689731121063, 0.338295578956604, 0.26439809799194336, -0.13853813707828522, 0.8785755038261414, -0.2756316065788269, -0.07540394365787506,...
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...
Output: TO
2
NIv2
task584_udeps_eng_fine_pos_tagging
fs_opt
[ 0.42003971338272095, 0.47812619805336, -0.15998852252960205, 0.3362703025341034, -0.03529348224401474, -0.8699990510940552, 0.7053000330924988, 1.0599768161773682, -0.5868557095527649, -0.23811417818069458, -0.19088241457939148, 0.36512985825538635, -0.24770492315292358, 0.2624218165874481...
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese. A resposta é: A través dun dispositivo de tres cabezas.
三又の器具これが答えです
0
NIv2
task1239_ted_translation_gl_ja
zs_opt
[ -0.34941643476486206, -0.041298333555459976, -0.07592541724443436, -0.6756301522254944, -0.005325501784682274, -0.3315259516239166, 0.5391857028007507, -0.2871662974357605, -0.5039088726043701, -0.7996841669082642, -0.6348065137863159, 0.41814008355140686, -0.2553221881389618, 0.7924708127...
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence. Ex Input: രാജ്യത്തെ സാധാരണക്കാരുടെ മൂല്യങ്ങളും, പ്രതീക്ഷകളും പ്രയത്‌നങ്ങളുടെയും സഹായത്തോടെ നമുക്ക് ഈ പ്രസ്ഥാനത്തെ മുന്നോട്ട് നയിക്കണം. Ex Output: మన...
16వ ఇంటర్ నేశనల్ ఎనర్జీ ఫోరమ్ మంత్రుల స్థాయి సమావేశానికి మీకు ఇదే స్వాగతం.
1
NIv2
task1049_pib_translation_malayalam_telugu
fs_opt
[ -0.45094263553619385, -0.15651287138462067, -0.4288870692253113, 0.06280027329921722, -0.6435139179229736, -1.5535811185836792, 0.20686711370944977, 0.31234192848205566, -0.22058585286140442, -0.32132580876350403, -0.685968279838562, 0.3201488256454468, -0.239064559340477, -0.0019466143567...
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY ...
NOBODY
0
NIv2
task498_scruples_anecdotes_whoiswrong_classification
fs_opt
[ 0.9122658967971802, 0.31223249435424805, -0.2658412456512451, -0.2750748097896576, 0.6404390335083008, -0.18795979022979736, 0.40538522601127625, 1.1829166412353516, -0.12266334891319275, 0.00033492245711386204, 0.1384458839893341, 0.5520387887954712, -0.6956643462181091, 0.101141273975372...
Detailed Instructions: Given a sentence, generate a new 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 ...
You are likely to mean a bird in a tree .
9
NIv2
task413_mickey_en_sentence_perturbation_generation
zs_opt
[ -0.5762420892715454, 0.7476916909217834, -0.022318072617053986, -0.7120482325553894, -0.14652374386787415, -1.1632704734802246, 0.8716957569122314, 0.8022983074188232, 0.009198606945574284, -0.34633469581604004, -0.6354652047157288, -0.27460482716560364, -0.8102347254753113, 0.846966207027...
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list. ['5349', 'u', '...
1, 3, 4, 5, 7, 10, 11, 13, 14, 16, 17, 19, 22
7
NIv2
task507_position_of_all_numerical_elements_in_list
zs_opt
[ -0.24791984260082245, 0.2733737826347351, -0.17197297513484955, -0.8081371784210205, 0.2733593285083771, -0.3881506323814392, 0.6609374284744263, 0.14634232223033905, -0.5880756378173828, 0.41076722741127014, -0.43646878004074097, -0.07670563459396362, -0.04139335826039314, 0.0776383504271...
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian. Input: Congratulations to the #Hijra community in #Bangladesh. Output:
تبریک به جامعه هجراهای بنگلادش.
2
NIv2
task663_global_voices_en_fa_translation
zs_opt
[ -0.8863059878349304, 0.21180245280265808, 0.17815172672271729, 0.07746925950050354, -0.2257060408592224, -0.6103280782699585, 0.19616331160068512, -0.11509209871292114, 0.6861683130264282, 0.21457283198833466, -1.405792236328125, -0.22219328582286835, 0.3193243443965912, 0.1150369420647621...
Detailed Instructions: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text. Q: Personality: I deliver packages for a living. I love candy. I'm a v...
Oh I take it you have a religious family.
9
NIv2
task1730_personachat_choose_next
zs_opt
[ -0.8391939997673035, -0.3134281635284424, -0.05244196951389313, -0.13617311418056488, -0.08334831893444061, -0.6040447950363159, 0.761716902256012, 0.7434585094451904, 0.0649552196264267, -0.03401871770620346, -0.10213004052639008, 0.2136363685131073, 0.05092574283480644, -0.24252587556838...
Teacher:Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid ...
Does citrus limonoid nomilin inhibit osteoclastogenesis in vitro by suppression of NFATc1 and MAPK signaling pathways?
6
NIv2
task845_pubmedqa_question_generation
zs_opt
[ 1.1438508033752441, 0.1519811600446701, -0.8524283170700073, 0.6655340194702148, 0.2670764625072479, -0.7261446714401245, 0.42594894766807556, 0.872212290763855, -0.23594018816947937, 0.015755020081996918, -0.4717724323272705, -0.17998695373535156, -1.0155889987945557, 0.15881216526031494,...
Instructions: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant. Input: Ok then....
user
3
NIv2
task577_curiosity_dialogs_classification
zs_opt
[ -0.1767963469028473, 0.17101100087165833, -0.3914405107498169, -1.0228285789489746, -0.514694094657898, 0.015617776662111282, 0.9736101627349854, -0.767688512802124, 0.6640583276748657, -0.3991718292236328, -0.37128281593322754, -0.6018316745758057, -0.283708781003952, -0.01951166614890098...
Q: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence. मैं इस अवसर पर भारत में आप सभी का स्वागत करता हूं। A:
गेल्यावर्षी आमच्या द्विपक्षीय व्यापाराने 20 अब्ज डॉलर्सचा टप्पा ओलांडला.
7
NIv2
task1081_pib_translation_hindi_marathi
zs_opt
[ 1.0640984773635864, 0.38700300455093384, -0.313407838344574, 0.33483603596687317, -0.034392353147268295, -1.4261277914047241, 0.6271848678588867, -0.16705739498138428, 0.5568277835845947, -0.250406950712204, -0.5003403425216675, 0.4339696168899536, 0.03726784139871597, 0.4086012840270996, ...
You will be given a definition of a task first, then some input of the task. A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence. PM arrives in Berlin for Fourth India-Germany Intergovernmental Consultat...
നാലാമത് ഇന്ത്യ-ജര്‍മനി ഗവണ്‍മെന്റ് തല ചര്‍ച്ചകള്‍ക്കായി പ്രധാനമന്ത്രി ബെര്‍ലിനിലെത്തി
1
NIv2
task1021_pib_translation_english_malayalam
zs_opt
[ -0.05169329792261124, 0.9929872751235962, 0.2787122130393982, -0.12761613726615906, 0.2384967803955078, -0.13632363080978394, 0.6364437341690063, -0.5368973016738892, 0.002266558352857828, 0.3706146776676178, -0.35398435592651367, 0.23545053601264954, -0.43352192640304565, 0.18808093667030...
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No". Q: Sentence1: UAL attorney James Sprayregen told a court hearing yesterday that it would submit a fresh business plan , but gave no indication of when ., Sentence2: UAL bankruptc...
Yes
4
NIv2
task1288_glue_mrpc_paraphrasing
zs_opt
[ -1.1535866260528564, 1.2168092727661133, 0.22196632623672485, -0.5098425149917603, -0.12048253417015076, -0.28755101561546326, 0.31959569454193115, 0.8053432106971741, -0.17358633875846863, -0.018179811537265778, -0.11520912498235703, 0.11885983496904373, 0.004468393977731466, 0.3951407670...
TASK DEFINITION: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian. PROBLEM: We have therefore brought an oblation for the LORD, what every man hath gotten, of jewels of gold, chains, and bracelets, rings, earrings, and tablets, to make an atonement for our ...
اینک من امروز برکت و لعنت پیش شمامی گذارم.
8
NIv2
task655_bible_en_fa_translation
fs_opt
[ 0.04352986067533493, 0.9542373418807983, -0.46732062101364136, -0.05267297476530075, -0.5889946222305298, -0.06667332351207733, 1.0183193683624268, 0.2178564965724945, 0.2891501784324646, -0.004770155064761639, -0.6956723928451538, 0.9593282341957092, -0.7350109815597534, 0.196087628602981...
Detailed Instructions: Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion Q: 1m....
Not Hope Speech
9
NIv2
task681_hope_edi_malayalam_text_classification
zs_opt
[ -0.40007680654525757, -0.20957395434379578, 0.4982164800167084, -0.24683648347854614, -0.18323321640491486, -0.5680176615715027, -0.42689380049705505, 0.7380893230438232, -0.53080153465271, 0.24945271015167236, -0.5232599973678589, -0.4258318543434143, 0.011501614935696125, -0.544105529785...
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....
No
2
NIv2
task1199_atomic_classification_xattr
zs_opt
[ 0.246403768658638, 0.1451011300086975, 0.2908672094345093, 0.014808457344770432, -0.49581465125083923, -0.8008953928947449, 0.8279446363449097, 0.26560068130493164, -0.4386473298072815, -0.23145368695259094, -0.4615139067173004, -0.8432097434997559, -0.6117151975631714, -0.1451248526573181...
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. Input: Consider Input: passage: The group winners, Serbia, qualified directly for the 2018 FIFA World Cup. The group runners-up, Republic of Ireland, advanced to t...
Output: No
2
NIv2
task380_boolq_yes_no_question
fs_opt
[ 0.41918548941612244, 0.24008136987686157, -0.5287129282951355, 0.17899931967258453, 0.660804271697998, -0.6204745173454285, 0.6563003063201904, 0.607111930847168, -0.8956917524337769, -0.028587428852915764, -0.12774449586868286, 0.8701446652412415, -0.09643357992172241, 0.5510683059692383,...
In this task, you need to Translate Czech text to English. Example input: Řešení se týká herbicidů a regulátorů růstu rostlin, obzvláště herbicidů pro selektivní potírání plevelů v kulturách užitkových rostlin. Konkrétně se týká nových acylovaných aminofenylsulfonylmočovin obecného vzorce I, způsobu jejich výroby a no...
The present invention is a drive unit for a ground-powered internal combustion engine driven machine, which is arranged in the engine compartment with a hood and is provided with a main cooler (7) for cooling the engine coolant and at least one auxiliary coolant, e.g. the chiller (7) is provided with a first fan and is...
3
NIv2
task842_para_pdt_cs_en_translation
fs_opt
[ 0.07538826763629913, -0.03443334996700287, -0.17792892456054688, 0.1443377584218979, 0.1856832355260849, -1.0581536293029785, 0.43078404664993286, 0.7479358911514282, 0.16100314259529114, 0.07552146166563034, -0.5923950672149658, 0.24155265092849731, -0.4348248839378357, 0.3246327638626098...
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, given a sentence in the English language, your task is to convert it into the Filipino language. According to Assistant Secretary of State, Sean McCormack, at least one breach occurred...
Binanggit din ng Lancashire Telegraph ang 120 na empleyado na nasa welga sa Cardwell Place call centre at inaasahan na 2,500 sa Hilagang Kanluran ng England ang aksiyon; binanggit si Middleman na naglalarawan sa mga call centre bilang "ang katumbas ng modernong panahon ng kadiliman, ang gilingan ni satanas kung saan an...
0
NIv2
task559_alt_translation_en_fi
fs_opt
[ 0.15916696190834045, 0.017006656154990196, -0.4885544776916504, -0.47593963146209717, 0.46026894450187683, 0.37650784850120544, -0.025765277445316315, 0.7099040150642395, -0.2866296172142029, -0.06206551566720009, 0.129691481590271, 0.3697229325771332, -0.6333280205726624, 0.31849771738052...
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating...
Do a single dose of fentanyl and midazolam prior to Cesarean section have no adverse neonatal effects?
4
NIv2
task845_pubmedqa_question_generation
zs_opt
[ 0.7331767678260803, 0.45817843079566956, -0.8434224128723145, 0.06059493124485016, 0.09736669808626175, -0.05821358412504196, 0.6622278690338135, 0.8367346525192261, 0.5319147706031799, 0.4315272271633148, -0.6969131231307983, 0.5462507009506226, -1.1589076519012451, 0.2635567784309387, ...
Instructions: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*. Input: who came up with th...
George Hudson
3
NIv2
task582_naturalquestion_answer_generation
zs_opt
[ -0.5022693872451782, 0.7722133994102478, 0.12264252454042435, 0.22174891829490662, -0.8050583600997925, -0.7489573955535889, 1.0073941946029663, 0.4836852550506592, 0.3912179470062256, -0.6297526359558105, -0.5195052623748779, 0.06491117924451828, -0.365257203578949, -0.4715520441532135, ...
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to c...
A race and the competitor are very close and about to reach the finish line.
5
NIv2
task185_snli_contradiction_to_neutral_text_modification
fs_opt
[ -0.45000988245010376, 0.9388958215713501, 0.15554866194725037, -0.8182748556137085, -0.2967328429222107, -0.4160441756248474, -0.06954027712345123, 0.4027501940727234, 0.31480973958969116, -0.4480059742927551, -0.7319474816322327, -0.4268905222415924, -0.5565634369850159, 0.188077539205551...
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). लेकिन शाका हिज़लोप ने बकाया बचत के एक तार का उत्पादन किया, जिसमें एक मिनट 11...
But Shaka Hislop produced a string of outstanding saves, which included one 11 minutes from time when he stuck out a hand to stop Marcus Allback placing the ball over him.
0
NIv2
task433_alt_hi_en_translation
zs_opt
[ -0.066653773188591, 0.7296947240829468, 0.3178873360157013, -0.03887101262807846, -0.21470436453819275, -0.018545102328062057, 0.5918592214584351, 0.11241219937801361, -0.3965747356414795, -0.5045540928840637, -0.7186607718467712, 0.08134357631206512, -0.6278150081634521, -0.09529159218072...
Teacher: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10. Teacher: Now, understand the problem? If you are still confused, see the following example: [-83, 53, -48, 8] Solution: [-80, 50, -50...
[300, 640, -710, 920, -670, 640, -920, -410, -810, -820, 280]
2
NIv2
task373_synthetic_round_tens_place
fs_opt
[ -0.5582427978515625, 0.16751578450202942, -0.3254508972167969, -0.38600075244903564, -0.10782074928283691, -0.5437484979629517, 1.0303394794464111, 0.27415889501571655, -0.3774295747280121, 0.26071950793266296, -0.25763460993766785, -0.19242072105407715, -0.5506930351257324, -0.03600396215...
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician. Teacher: Now, understand the problem? Solve this instance: (ضحك) إذا.. لماذا هذا الشيء يستخدمه الجميع.. ويعلمون ان لا احد قد يغنيهم عن ذلك.. ما المميز في هذا ؟ Student:
(Sorrisos) Entón, como é que isto é algo que todo o mundo usa e pensan que ninguén deixará de facelo? Que ten de especial?
6
NIv2
task1105_ted_translation_ar_gl
zs_opt
[ -0.7698458433151245, 1.1971216201782227, 0.03520146384835243, -1.2521569728851318, -0.8979206085205078, -0.5994498133659363, 0.7276235222816467, 0.45897209644317627, 0.5763918161392212, -0.9290027618408203, -0.6069219708442688, 0.23052212595939636, -0.670292854309082, 0.19692158699035645, ...
Given a scientific passage and an answer, generate a question for the given answer. Ex Input: Passage: They will all blend together. The dyes will move through the water until an even distribution is achieved. The process of moving from areas of high amounts to areas of low amounts is called diffusion. Answer: diffusi...
Desert plants have special stems and leaves to conserve what?
1
NIv2
task594_sciq_question_generation
fs_opt
[ 0.2723959982395172, 0.12480699270963669, -0.6972013115882874, 0.3556365370750427, 0.16366104781627655, -0.5741775035858154, -0.04925166815519333, 0.6939324140548706, 0.11089769005775452, 0.028478391468524933, -0.15601736307144165, 0.6186696887016296, -0.7174612879753113, 0.0255383737385272...
Teacher:Given a scientific passage and an answer, generate a question for the given answer. Teacher: Now, understand the problem? Solve this instance: Passage: Many quantities can be expressed in several different ways. The English system measurement of 4 cups is also equal to 2 pints, 1 quart, and ¼ of a gallon. Answe...
According to the english system measurement, how much is equal to 2 pints, 1 quart, and ¼ of a gallon?
6
NIv2
task594_sciq_question_generation
zs_opt
[ 0.2192240208387375, 1.552893877029419, 0.31366613507270813, -0.5709390640258789, 0.3263862133026123, -1.3524832725524902, -0.2713722586631775, 0.4499385356903076, 0.09453080594539642, -0.6195600032806396, 0.21049565076828003, 0.19533312320709229, -0.5725045204162598, -0.31821855902671814, ...
Teacher:The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), o...
No
6
NIv2
task355_casino_classification_negotiation_other_need
zs_opt
[ 0.12718506157398224, 0.28079283237457275, -0.2438884675502777, -0.12571129202842712, -0.5938315391540527, -1.3002328872680664, 0.5362324714660645, 0.9156025052070618, -0.4780358374118805, 0.22730517387390137, 0.2864625155925751, -0.26170092821121216, -1.1708149909973145, -0.282441496849060...
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....
55
7
NIv2
task1446_farthest_integers
fs_opt
[ -0.08001826703548431, 0.14998286962509155, 0.1617884635925293, -0.1222715973854065, 0.1032574325799942, -0.15567144751548767, 0.2833620309829712, 0.3787444531917572, 0.7234625816345215, -0.297787070274353, -0.36670982837677, -0.20845675468444824, -0.7157909870147705, 0.008810242637991905, ...
Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes). Input: Context: Willie Perdomo is a prize - winning Puerto Rican poet and children '...
writer
3
NIv2
task1296_wiki_hop_question_answering
zs_opt
[ 0.3112031817436218, 0.2897038161754608, 0.06564938277006149, -0.11433053016662598, 0.8192612528800964, -0.4409751892089844, 0.294347882270813, 0.7316985726356506, 0.10438838601112366, 0.09555565565824509, 0.1033051609992981, 0.5191180109977722, -0.8747967481613159, 0.061936914920806885, ...
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list. [[-30, 27], [27, -36, 18, -10, 1], [-37, -31], [1...
[-28512, -28, -4213440, 740, 24108, 697, 760, 372000, -304920]
0
NIv2
task371_synthetic_product_of_list
fs_opt
[ -0.6285502314567566, -0.14105190336704254, -0.7860023975372314, -0.25912219285964966, 0.06737940013408661, -0.8495497703552246, 1.4202238321304321, 0.3031180500984192, -0.5902888774871826, -0.20624977350234985, -0.9855223298072815, 0.17847898602485657, -0.8610536456108093, -0.2751858234405...
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular. -------- Question: Comment: Substantive? Hillary?...
Non-threat
7
NIv2
task322_jigsaw_classification_threat
fs_opt
[ -0.07827350497245789, 0.4518582224845886, 0.27342790365219116, 0.32011640071868896, -0.30115312337875366, -0.3447808623313904, 0.06375003606081009, 0.9774543642997742, 0.4880024492740631, -0.36916834115982056, 0.19025084376335144, 0.20472490787506104, -0.05201106145977974, -0.6595899462699...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. 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...
based on
0
NIv2
task1328_qa_zre_relation_generation_from_question
fs_opt
[ 0.2861369252204895, 0.12641766667366028, -0.018875475972890854, -0.21407648921012878, 0.22241920232772827, 0.005719090811908245, 0.23194342851638794, 0.6847949028015137, -0.1055891290307045, 0.09743238985538483, 0.3873187303543091, 0.5040667653083801, -0.9557849168777466, -0.10701841115951...
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal. Understanding the underlying molecular mechanisms in burn wound progression is crucial to providing a...
0
0
NIv2
task848_pubmedqa_classification
zs_opt
[ 0.22728556394577026, 0.15935929119586945, -0.4879547953605652, 0.42394524812698364, 0.282392680644989, -0.3825923502445221, 1.0183513164520264, 0.882036030292511, -0.10215069353580475, 0.9656549096107483, -0.34782373905181885, -0.25349968671798706, -1.0553293228149414, 0.2540074288845062, ...
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question. Q: drew barrymore A:
What was the name of Drew Barrymore's character in E.T.?
4
NIv2
task897_freebase_qa_topic_question_generation
zs_opt
[ 0.5153646469116211, 0.3828542232513428, -0.3865673542022705, -0.6129432916641235, -0.41654253005981445, -0.1527765691280365, 0.9188162684440613, -0.7003626227378845, 1.0156036615371704, -0.5715047121047974, -0.57453453540802, -0.3708633482456207, -1.567047119140625, 0.005498621147125959, ...
instruction: 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....
[]
9
NIv2
task205_remove_even_elements
fs_opt
[ -0.8304635286331177, 0.4378654360771179, -0.12053846567869186, -0.7323015928268433, 0.019485270604491234, -0.226629838347435, 0.8630599975585938, 0.32709801197052, -0.7004389762878418, 0.5873515605926514, -0.7820695638656616, 0.24963417649269104, -0.031606242060661316, -0.4080151319503784,...
Definition: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which es...
overruling
2
NIv2
task274_overruling_legal_classification
zs_opt
[ -0.4366576671600342, 0.7021571397781372, 0.5093173980712891, -0.043239038437604904, -0.29788798093795776, -0.565239429473877, 0.587658166885376, 0.6387361288070679, 0.21903741359710693, -0.41555142402648926, -0.8406720161437988, -0.5067813396453857, -0.7447372078895569, -0.1923299431800842...
instruction: In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return the output in this format: 1 - category of sentence 1, 2 - categ...
1 - other, 2 - other
9
NIv2
task352_coda-19_classification
fs_opt
[ -0.11057230830192566, 0.49183517694473267, -0.07092058658599854, -0.6343302726745605, 0.7603569030761719, -0.07805520296096802, 0.7233229875564575, 0.8689210414886475, -0.14277252554893494, 0.22852542996406555, -0.6130214929580688, 0.5872180461883545, -0.66181480884552, 0.10587800294160843...
Teacher:In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A Teacher: Now, understand the problem? Solve this instance: 2, ['8059', '8245', '4237', 'v', 's...
8059, 8245
6
NIv2
task063_first_i_elements
zs_opt
[ -0.5537037253379822, 0.22720949351787567, -0.32195237278938293, -0.40495240688323975, -0.6225080490112305, -0.40281373262405396, 0.14519840478897095, 0.24208064377307892, 0.08265118300914764, -0.1515572965145111, -0.8200031518936157, -0.24081692099571228, 0.010154228657484055, -0.453053653...
You will be given a definition of a task first, then some input of the task. In this task, we ask you to elaborate the sentence without changing its general meaning. You can do so by explaining further the input sentence, using more precise wording, adding qualifiers and auxiliary information etc. The Royal Standard o...
The Royal Banner of the Royal Arms of Scotland , also known as the Royal Banner of Scotland , or more commonly the Lion Rampant of Scotland , and historically as the Royal Standard of Scotland , or Banner of the King of Scots , is the Royal Banner of Scotland , and historically , the Royal Standard of the Kingdom of Sc...
1
NIv2
task955_wiki_auto_style_transfer
zs_opt
[ -0.12188919633626938, 1.1652376651763916, -0.5448617935180664, -0.6245314478874207, 0.17201821506023407, -1.0465331077575684, -0.15674681961536407, 0.6008455753326416, -0.27267301082611084, -0.3140220046043396, 0.11837910860776901, 0.7400155663490295, -0.8617904186248779, 0.063094936311244...
Q: Given a sentence, generate a new 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 being true. We ca...
We can share the bathroom in this house room while we are here .
7
NIv2
task413_mickey_en_sentence_perturbation_generation
zs_opt
[ 0.08987784385681152, 1.2609567642211914, -0.3893646001815796, -0.2849646210670471, -0.09546519070863724, -1.3097386360168457, -0.3086746335029602, 0.6012619733810425, 0.4899313449859619, -0.062007419764995575, -0.27403178811073303, 0.4969930946826935, -0.5753195285797119, 0.192805022001266...
In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no". Ex Input: sentence1:organization_founder is president of location sentence1:organization_founder is presiden...
no
1
NIv2
task970_sherliic_causal_relationship
fs_opt
[ -0.5963454246520996, 0.48481056094169617, 0.3754584789276123, -0.5046836137771606, -0.2899976074695587, -0.40047532320022583, -0.1292973756790161, 0.3976697027683258, 0.733371913433075, -0.10840410739183426, -0.4902249574661255, -0.46752068400382996, -0.5681023597717285, -0.331690788269042...
Detailed Instructions: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5. Q: Sentence: 'adults and children standing in the street by a commercial passenger van'. Reverse all words of leng...
adults and children standing in the street by a laicremmoc passenger van
9
NIv2
task378_reverse_words_of_given_length
zs_opt
[ 0.03425343334674835, 0.03987574577331543, -0.02604770101606846, -0.7384762763977051, -0.4243979752063751, -0.13728535175323486, 0.5158141851425171, 0.26912716031074524, 0.4991675019264221, -0.2741354703903198, -1.0243695974349976, -0.13657146692276, -0.3684084713459015, -0.2298617660999298...
Q: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the buildi...
walk right and walk opposite right
7
NIv2
task129_scan_long_text_generation_action_command_short
zs_opt
[ 0.2942882776260376, 1.0014084577560425, -0.4215906262397766, 0.20479102432727814, -0.07337136566638947, 0.16216535866260529, 0.08742675185203552, 0.6327519416809082, -0.45869117975234985, -0.21161693334579468, -0.6571581363677979, -0.34980636835098267, -0.8073813915252686, -0.0791005715727...
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant. -------- Question: Thank you ...
user
7
NIv2
task577_curiosity_dialogs_classification
fs_opt
[ -0.5434674024581909, 0.2737969756126404, -0.12177521735429764, -0.6290053725242615, -0.7619036436080933, -0.015038575977087021, 0.9947463274002075, -0.7232701778411865, 0.7007866501808167, -0.6357222199440002, -0.7334100008010864, -0.417853444814682, -0.19631700217723846, -0.15417146682739...
Given the task definition, example input & output, solve the new input case. Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. Example: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C...
非営利の癲癇財団によって開催されたインターネットフォーラムは、心ない破壊者の一団によって先週攻撃された。
1
NIv2
task1119_alt_fil_ja_translation
fs_opt
[ 0.047330163419246674, 0.43349936604499817, -0.6843622922897339, 0.3096335828304291, -0.0028190379962325096, -0.2394896298646927, 0.7689862847328186, 0.39184504747390747, -0.06516996771097183, -0.601777970790863, -1.0458810329437256, 1.1224424839019775, -0.41692590713500977, 0.3521419465541...
Teacher:Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is - '.': Period symbol i...
NOUN
6
NIv2
task1167_penn_treebank_coarse_pos_tagging
zs_opt
[ 0.5055766105651855, 0.0777251198887825, -0.1759454607963562, 0.10687541216611862, -0.09429949522018433, -0.7519088983535767, 0.5565004348754883, 0.7283074259757996, -0.24041196703910828, -0.11678660660982132, -0.5565668940544128, 0.06842777878046036, -0.5381141304969788, 0.1322056055068969...
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician. Q: دو خانم ، باهم مشاجره دارند A:
Dúas mulleres xuntas teñen unha discusión
9
NIv2
task1270_ted_translation_fa_gl
zs_opt
[ -0.635093092918396, 1.2715277671813965, -0.2848796844482422, -0.9035612940788269, 0.23867319524288177, -0.6107610464096069, -0.3120298385620117, 0.8329178094863892, 1.0982730388641357, 0.22589121758937836, -0.4061877727508545, 0.3559618294239044, -0.2781772315502167, 0.0195189006626606, ...
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be...
Missouri’s health department director on Tuesday said he tracked the menstrual cycles of Planned Parenthood patients as part of an effort to identify what the agency says were “failed abortions” at a St. Louis clinic. ****
4
NIv2
task1369_healthfact_sentence_generation
fs_opt
[ 0.9613610506057739, 0.1998022049665451, -0.8452136516571045, -0.7320990562438965, 0.5078935623168945, -0.8378472924232483, 0.5126311779022217, 0.5365679264068604, 0.15074658393859863, -0.06641009449958801, -0.2959747910499573, 1.17661452293396, -0.8369104266166687, 0.5350160002708435, -0...
Teacher: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity. Teacher: Now, understand the problem? If you are still confused, see the following example: 1 3/4 cups all purpose flour, 1/4 cup finely ground blan...
butter, brown sugar, eggs, flour, soda, water, nuts, dates, raisins, candied cherries
2
NIv2
task570_recipe_nlg_ner_generation
fs_opt
[ 0.034622084349393845, 0.39131060242652893, 0.15415990352630615, 0.28685426712036133, -0.0014019440859556198, -0.5337061882019043, 0.7297531366348267, 0.5881291627883911, -0.9755775928497314, -0.07404167205095291, -0.01856694370508194, -0.2766147553920746, -0.7100061774253845, -0.3212777972...
Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no". Input: Article: reeling from almost nationwide destruction from hurricanes gustav and ike , cash - strapped communist...
no
3
NIv2
task289_gigaword_summarization
zs_opt
[ -0.5353727340698242, 0.9384322166442871, -0.05283697694540024, -0.48903149366378784, -0.44038957357406616, -0.5724713802337646, 0.41366684436798096, 0.6052780151367188, -0.46622955799102783, 0.5300608277320862, -0.15163150429725647, -0.18690761923789978, -0.17118021845817566, 0.43752473592...
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence. प्रत्येक डिजिटल पेमेंट मुळे वेळेची बचत होते .
ഓരോ ഡിജിറ്റല്‍ പണമിടപാടും സമയം ലാഭിക്കുന്നു.
0
NIv2
task1072_pib_translation_marathi_malayalam
zs_opt
[ 0.1987512856721878, 0.39674556255340576, -0.18520990014076233, -0.3814123272895813, -0.8661667108535767, -0.12255352735519409, 1.0556795597076416, 0.32143741846084595, 0.41271287202835083, -0.39947932958602905, -0.19967147707939148, -0.035127103328704834, -0.6659307479858398, 0.37396985292...
In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely...
SELECT name FROM captain ORDER BY age DESC
4
NIv2
task107_splash_question_to_sql
zs_opt
[ 0.9407382011413574, 0.20760062336921692, -1.2937015295028687, 0.4432099461555481, -0.25395339727401733, -0.5998203754425049, 0.9085952043533325, 0.9200034737586975, -0.426477313041687, 0.3665618896484375, 0.13077405095100403, 0.17348569631576538, -0.2795722484588623, 0.38132840394973755, ...
Detailed Instructions: 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: What's Love Got To Do With The Wiz? #HiddenFences#GoldenGlobes— DL.M (@SpeakDLM) January 9, 2017 Question: wh...
golden globes
8
NIv2
task239_tweetqa_answer_generation
zs_opt
[ -1.1623640060424805, 1.5051227807998657, -0.08316460251808167, 0.1549818515777588, -0.6543103456497192, 0.21102960407733917, -0.2710459232330322, -0.028758520260453224, 0.12433941662311554, -0.4319443106651306, -0.8605803847312927, 0.20891818404197693, -0.5213173031806946, 0.57568824291229...
Definition: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Input: Statement: ऑगस्ट, इ.स. २०१३मध्ये वृद्धापकालीन अस्वास्थ्यामुळे <MASK>च्या हिंदुजा रुग्णालयात साळ...
मुंबई
2
NIv2
task950_wiki_cloze_mr_multiple_choice_question_answering
zs_opt
[ 1.2099456787109375, 0.9965611100196838, -0.620461106300354, -0.3864496350288391, -0.5865793228149414, -1.016018271446228, 0.5996230840682983, 0.5345743894577026, 0.4600585699081421, -0.1974986493587494, -0.27209222316741943, 0.450033962726593, 0.5765846371650696, 0.13981446623802185, 0.0...