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instruction: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context. question: Context: Excessive infant crying, or infantile colic, is a common and often stress-inducing problem for parents that can ulti...
HLA genotype associates with CC, thus implicating HLA-related immune mechanisms in its pathogenesis.
9
NIv2
task849_pubmedqa_answer_generation
fs_opt
[ 0.35926496982574463, -0.049558721482753754, -0.9715836048126221, -0.08022139966487885, 0.15762832760810852, -0.5908747911453247, 0.8470486998558044, 0.8959829211235046, -0.08659306168556213, 0.2136024385690689, -0.33502668142318726, 0.5295969247817993, -0.6484565734863281, 0.46739289164543...
In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person....
Yes
7
NIv2
task632_dbpedia_14_classification
fs_opt
[ -0.941484808921814, 0.5266981720924377, -0.4167526066303253, 0.39503079652786255, -0.2377646267414093, -0.6448471546173096, 0.2228725403547287, 0.28580671548843384, -0.1825222671031952, -0.03423750400543213, -0.5169978141784668, 1.2542253732681274, -0.3665978014469147, -0.03242722898721695...
In this task, you are given a question and answer for that. The answer will fill in the blank or will complete the unfinished question. Your task is to provide an explanation based on the given question or fill-in-the-blank statement, and answer. One example: Question: The government of Canada is considering implementi...
Objects that are closer together have a stronger force of gravity.
6
NIv2
task223_quartz_explanation_generation
fs_opt
[ -0.1558791548013687, 0.5621767044067383, 0.03922595828771591, -0.9787729382514954, -0.04548000544309616, -0.6385756731033325, 0.8582937717437744, 0.6738364696502686, -0.2485935240983963, -0.3988470435142517, -0.39544442296028137, -0.2573999762535095, -0.47727686166763306, 0.640960872173309...
instruction: In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence. question: Who played z...
May 31, 2009
9
NIv2
task669_ambigqa_answer_generation
fs_opt
[ -0.1252695918083191, 0.7141124606132507, -0.7123979926109314, -0.5689963698387146, -0.22754672169685364, -0.48555636405944824, 1.0733754634857178, -0.6484043598175049, -0.3709438741207123, 0.5696481466293335, -0.016417022794485092, 0.10699950158596039, -0.5322670340538025, 0.12451790273189...
Detailed Instructions: 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. Q: ['73', 'l', 'g', '221', 'q', '6011', '...
f, g, h, k, l, o, p, q, t, v, y, z
9
NIv2
task636_extract_and_sort_unique_alphabets_in_a_list
zs_opt
[ -0.8166710138320923, 0.5311697125434875, 0.39045754075050354, -0.4610162675380707, 0.5421350002288818, -0.26124367117881775, 1.0847134590148926, -0.21837958693504333, -0.6626652479171753, 0.11357524991035461, -0.6517770290374756, -0.4413529634475708, -0.11574525386095047, 0.112192019820213...
Instructions: The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place. Input: మీ మనసును చేయండి. Output:
Make up your mind.
3
NIv2
task1324_open_subtitles_te_en_translation
zs_opt
[ 0.09190188348293304, 1.0577584505081177, 0.787682294845581, 0.2415965348482132, 0.24346454441547394, -0.7185302972793579, 0.544490396976471, -0.5677797794342041, 0.10318571329116821, -0.5011790990829468, -0.12483469396829605, 0.36146944761276245, -0.6349073052406311, 0.34941425919532776, ...
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is. Teacher: Now, understand the problem? Solve this instance: 訴訟は、懲罰的な罰金に加えて、AT&Aの顧客一人あたり2万2000ドルの損害賠償を求めている。 Student:
Gugatan ini meminta ganti rugi $22,000 untuk setiap pelanggan AT&T selain dendan hukuman.
6
NIv2
task1115_alt_ja_id_translation
zs_opt
[ -0.6210619211196899, 0.38332194089889526, -0.06614384055137634, -0.6566323041915894, -0.2609718441963196, -0.5009517669677734, -0.16053232550621033, 0.0412580668926239, -0.3047400414943695, -0.37002286314964294, 0.22961024940013885, 0.2943282723426819, -0.6806530952453613, -0.0770107209682...
You will be given a definition of a task first, then some input of the task. In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question what is the weather tommrow Output:
It will be clear with a high of 0.00 °F and a low of 0.00 °F in Tok.
1
NIv2
task1603_smcalflow_sentence_generation
zs_opt
[ 0.05087502300739288, 0.23299440741539001, -0.6315236687660217, -0.37267041206359863, -0.08045205473899841, -1.215480089187622, 0.5053806304931641, 0.10453912615776062, 0.28764402866363525, 0.022587092593312263, -0.11439637839794159, -0.42969244718551636, -0.3771355152130127, 0.115830063819...
Detailed Instructions: 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 ev...
No
4
NIv2
task1201_atomic_classification_xintent
fs_opt
[ 0.684478223323822, 0.2036140114068985, -0.03471480682492256, 0.10437601804733276, -0.48958316445350647, -0.9659847021102905, 1.377712368965149, 0.5776544809341431, -0.46871015429496765, -0.1320544183254242, -0.34589800238609314, -0.5524282455444336, -1.1039985418319702, -0.1584002375602722...
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 ...
OTHER
9
NIv2
task498_scruples_anecdotes_whoiswrong_classification
fs_opt
[ 0.46435433626174927, 0.017608601599931717, 0.0129354577511549, 0.191700741648674, 0.5469760298728943, -0.6067767143249512, 0.5527207851409912, 0.6218539476394653, 0.1726263165473938, -0.30091434717178345, -0.2853602170944214, 0.6852266788482666, -0.8985170125961304, 0.0918833315372467, 0...
Instructions: In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer. Input: PersonX evaluates ___ in terms Output:
the grass
3
NIv2
task1217_atomic_answer_generation
zs_opt
[ -0.3020237684249878, 0.9014437198638916, 0.029427343979477882, -0.4572330713272095, -0.053543075919151306, 0.12217330187559128, 1.239656686782837, 0.7736517786979675, -0.07646475732326508, -0.6020594835281372, -0.49539023637771606, -1.2309911251068115, -0.3247227072715759, -0.1711867898702...
Detailed Instructions: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations s...
Where does this talk most probably take place? (A) In a studio. (B) In a clothing store. (C) At a beach resort.
8
NIv2
task246_dream_question_generation
zs_opt
[ 0.38534873723983765, 0.0061413077637553215, -0.6410645842552185, 0.010124634020030499, 0.6054580807685852, -0.08944115042686462, -0.09940138459205627, 0.8318432569503784, -0.1284562647342682, 0.2562236785888672, -0.13943344354629517, 1.2173221111297607, -0.40901899337768555, -0.00113645824...
Definition: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story. Input: Sentence1: My girlfriend and I decided to cook together Tuesday. Sentence2: We chose to make fajitas. Sentence3: It was fun and easy. Sentence4: We ...
Girlfriend, I (myself)
2
NIv2
task292_storycommonsense_character_text_generation
zs_opt
[ -0.001980840228497982, 0.17614874243736267, -0.1863846480846405, 0.09183596819639206, 0.00449944706633687, -0.5065080523490906, 0.7411154508590698, 0.5519979596138, -0.03323351591825485, -0.3009645938873291, -0.922703742980957, -0.4134599268436432, -0.12059381604194641, 0.397006094455719, ...
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. Sentence: 'a small wave is best used to learn how to surf'. Reverse all words of length '3' in the given sentence.
a small wave is best used to learn woh to surf
0
NIv2
task378_reverse_words_of_given_length
zs_opt
[ -0.32280153036117554, 0.46720749139785767, -0.12789534032344818, -0.8820531368255615, -0.09864957630634308, -0.003938299138098955, 0.3343183696269989, 0.5764228701591492, -0.059914495795965195, -0.13764873147010803, -1.4126992225646973, -0.0741361603140831, -0.3375421166419983, -0.47475755...
You will be given a definition of a task first, then some input of the task. From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence. Given Relationship: 'occupy', Sentence: 'The " Convention of the Representatives of ...
occupied
1
NIv2
task678_ollie_actual_relationship_answer_generation
zs_opt
[ 0.14645744860172272, 1.2295403480529785, -0.5765548944473267, -0.7312974333763123, -0.15252745151519775, -0.7325559854507446, 0.24064764380455017, 0.2898276746273041, 0.976395845413208, -0.039324648678302765, 0.10849705338478088, 0.20657524466514587, -0.7784160375595093, 0.3273472189903259...
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related...
2
7
NIv2
task1541_agnews_classification
fs_opt
[ -0.41857337951660156, 0.14922766387462616, -0.15701699256896973, 0.9611601829528809, 0.10515514016151428, 0.15275026857852936, -0.06006620079278946, 0.6356228590011597, 0.19343847036361694, 0.2388606071472168, 0.29394322633743286, 0.28412094712257385, -0.1173381507396698, 0.226841583847999...
Teacher: In this task, you need to count the number of nouns/verbs in the given sentence. Teacher: Now, understand the problem? If you are still confused, see the following example: Sentence: 'A small toy kept on tray held by a man'. Count the number of nouns in this sentence. Solution: 3 Reason: The words 'toy', 'tray...
4
2
NIv2
task155_count_nouns_verbs
fs_opt
[ -0.08674956858158112, 0.4567490816116333, 0.16695132851600647, -0.5956151485443115, -0.005542489234358072, -0.6741107106208801, -0.228716641664505, 0.7461361885070801, -0.46365219354629517, -0.029146462678909302, -0.3084355294704437, -0.16860753297805786, -0.5467309951782227, 0.24937348067...
Definition: You are given a sentence in English. Your job is to translate the English sentence into Italian. Input: So young people today have lots of experience and lots of familiarity with interacting with new technologies, but a lot less so of creating with new technologies and expressing themselves with new technol...
Al giorno d'oggi i giovani hanno molta esperienza e molta familiarità ad interagire con le nuove tecnologie, ma non a creare usando nuove tecnologie e ad esprimersi attraverso le nuove tecnologie.
2
NIv2
task1091_ted_translation_en_it
zs_opt
[ -0.7347941398620605, 0.5617276430130005, -0.10087397694587708, -0.07399386167526245, -0.17624258995056152, -0.6468335390090942, -0.3151068091392517, 1.280256986618042, 0.6194866895675659, -0.09341026842594147, 0.2375270426273346, 0.651986837387085, 0.22804775834083557, 0.5182468891143799, ...
Teacher: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 optio...
Option E
6
NIv2
task750_aqua_multiple_choice_answering
zs_opt
[ 0.2929545044898987, 0.46486103534698486, -0.34935545921325684, -0.7951706051826477, 0.3721311688423157, 0.07693111151456833, 0.40306463837623596, 0.7785016298294067, 0.21642622351646423, -0.2612660527229309, -0.47776108980178833, -0.38358935713768005, -0.07120589166879654, -0.5596718788146...
TASK DEFINITION: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length. PROBLEM: The development of high-throughput DNA sequencing technologies has enabled large-scale character...
Evaluation of the hepatoprotective effect of combination between hinokiflavone and Glycyrrhizin against CCl 4 induced toxicity in rats
8
NIv2
task1161_coda19_title_generation
fs_opt
[ 0.10774414241313934, 0.10728530585765839, -0.4361095428466797, -0.3193909525871277, 0.5231142044067383, -0.45026230812072754, 0.4678646922111511, 0.503558874130249, -0.04761069267988205, 0.4772152602672577, -0.5555516481399536, 0.5620908737182617, -0.5503673553466797, 0.5169199109077454, ...
Given the task definition, example input & output, solve the new input case. 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...
No
1
NIv2
task1206_atomic_classification_isbefore
fs_opt
[ 0.09159024059772491, 0.32075896859169006, 0.01298319362103939, 0.05016741901636124, -0.39180445671081543, -0.6948994398117065, 0.8188843727111816, 0.5359487533569336, -0.5440045595169067, -0.4740704298019409, -0.1926092505455017, -0.7754663825035095, -0.552143931388855, -0.0240257550030946...
Definition: Construct a question that every answer in the list is correct and reasonable for it. Input: jesus, god, john Output:
give me a name you hear a lot in the bible.
2
NIv2
task821_protoqa_question_generation
zs_opt
[ 0.2532958984375, 0.48068156838417053, -0.8935644626617432, 0.09708933532238007, -0.8655589818954468, -0.6361520290374756, 0.07450166344642639, -0.09755494445562363, 0.20815160870552063, 0.3212127983570099, -0.6312569379806519, 0.6392807364463806, -0.005017549730837345, -0.41286081075668335...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is. The first two were found unreliable and ...
उसका कर्तव्य है कि वह राष्ट्रपति द्वारा समय समय पर भेजे गए अथवा सौंपे गए विधिक विषयों पर भारत सरकार को परामर्श दे तथा विधिक प्रकृति के अन्य कर्तव्यों का निर्वाह करे और संविधान अथवा तस्समय प्रवृत्त किसी अन्य विधि द्वारा प्रदत्त कृत्यों का निर्वहन करे ।
0
NIv2
task425_hindienglish_corpora_en_hi_translation
fs_opt
[ 0.44744765758514404, -0.2986665368080139, 0.24439048767089844, 0.13509319722652435, 0.46971869468688965, -0.6382264494895935, 0.25106585025787354, 0.708087682723999, -0.5266258716583252, -0.19150060415267944, -1.0699045658111572, -0.2841968536376953, -0.6279772520065308, 0.2735674679279327...
Instructions: You are given a statement written in Oriya. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . Input: Statement: ୧୮୩୦ରେ ଏହା ବ୍ରାହ୍ମ ସମାଜ ରୁପେ ଖାତି ଲାଭ କରିଥିଲେ। ତାଙ୍କ ଚେଷ୍ଟାରେ ବେଣ୍ଟିଂ <MASK>ରୁ ସତୀଦ...
ଭାରତ
3
NIv2
task951_wiki_cloze_or_multiple_choice_question_answering
zs_opt
[ -0.47391098737716675, 1.1069588661193848, 0.3199869394302368, 0.07717015594244003, -0.28018105030059814, -0.3407684564590454, -0.22310592234134674, 0.7243239879608154, -0.05907697230577469, -0.42603254318237305, -0.4279513657093048, 0.1464615762233734, -0.31988245248794556, -0.613761961460...
Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew. Input: Obrigado. Output:
אובריגדו.
2
NIv2
task1242_ted_translation_gl_he
zs_opt
[ -0.5388842821121216, 0.06607067584991455, 0.035465776920318604, -0.9314829111099243, -0.34707343578338623, -0.30266159772872925, 0.4190816879272461, -0.40573471784591675, 0.8453167080879211, -0.09066912531852722, -0.68426513671875, -0.06980539858341217, -0.629446268081665, -0.1796931624412...
Detailed Instructions: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then...
303153777397S
9
NIv2
task267_concatenate_and_reverse_all_elements_from_index_i_to_j
zs_opt
[ -0.3883923888206482, 0.11710461974143982, -0.6056702136993408, 0.02581353485584259, -0.13956250250339508, -0.24126365780830383, 0.5171152353286743, 0.017347298562526703, -0.8445524573326111, 0.2249954491853714, -0.8827685117721558, 0.05211188644170761, -0.27085816860198975, 0.0481889396905...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi. Ex Input: או הנכד שלי, או מה שלא יהיה. Ex Output: یا نوه ‌ ی من ، یا هر کودکی در پیرامون من. Ex Input: או להתעלות מעבר לעתיד: כלומר, החיים מתחילים אחרי המוות. Ex Output: یا می توانید « آینده گرای ماوراء الطبيعه » باشید: با...
از آنجا که یاد گرفته بودم با حرکات سایه ‎ ها گذشت ساعت را بفهمم ، فهمیدم که چه مدتی طول کشید تا من برداشته و به خانه برده شوم.
1
NIv2
task1113_ted_translation_he_fa
fs_opt
[ -1.5540770292282104, -0.3301658034324646, -0.17208144068717957, 0.30293726921081543, -0.8219737410545349, 0.35049670934677124, 0.6037006974220276, 0.42636680603027344, 0.7800135016441345, -0.10749001801013947, -0.9116079807281494, 0.7382787466049194, -1.0155001878738403, 0.5194038152694702...
You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation. Ex Input: Question: When we add more...
more
1
NIv2
task178_quartz_question_answering
fs_opt
[ 0.1284455955028534, 0.35420048236846924, -0.5184113383293152, 0.6753893494606018, -0.06705476343631744, -0.5012880563735962, 0.37235361337661743, 1.2824057340621948, 0.1439867615699768, 0.42413362860679626, -0.5016789436340332, -0.0699620395898819, -0.6927729845046997, -0.30644506216049194...
Paraphrase the given questions to have different wording. Your paraphrased questions should have the same answer as the original question. Try to change the sentence as much as possible using synonyms and/or rearranging the structure of the sentence. The questions are in three domains: presidents, national parks, and d...
Did this president serve as an east coast state governor?
6
NIv2
task1562_zest_text_modification
fs_opt
[ -0.6373119354248047, 0.47350865602493286, 0.105258509516716, -0.05131155252456665, -0.8376064300537109, -0.48792558908462524, 1.1631102561950684, 0.12032751739025116, -0.10049910843372345, -1.0508266687393188, -1.0832383632659912, 0.7088179588317871, -0.7784973382949829, 0.5207653045654297...
In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any external k...
Who is shocked by Madison's secret?
0
NIv2
task193_duorc_question_generation
zs_opt
[ 1.088670253753662, 0.6641989946365356, -1.027064323425293, -0.5438762307167053, 0.3936949372291565, 0.15291592478752136, 0.5553140640258789, 0.5128865838050842, 0.07538110017776489, 0.09586314857006073, 0.09055975079536438, 0.03232380375266075, -1.1004536151885986, 0.06589615345001221, -...
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. One example is below. Q: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្រកួតពានរង្វាន់ពិភពលោកនៃកីឡាបាល់ឱបឆ្នាំ2007ដែលប្រព្រឹត្តនៅប៉ាសឌេស...
前タイコインターナショナル社の最高経営責任者デニス・コズロースキーおよびマーク・シュワルツ最高財務責任者らが共に、会社から60億ドル以上を横領した罪に問われている。
9
NIv2
task1122_alt_khm_ja_translation
fs_opt
[ 0.26456165313720703, 0.4865691661834717, -0.7042542695999146, 0.5586144924163818, -0.12501968443393707, -0.4353535771369934, -0.20833219587802887, 0.2503833770751953, -0.07721512019634247, -0.631515622138977, -0.8424071073532104, 0.7660934925079346, -0.6193196177482605, 0.4388435184955597,...
Teacher:In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense. Teacher: Now, under...
1
6
NIv2
task069_abductivenli_classification
zs_opt
[ -0.6298003196716309, 0.47823989391326904, -0.30340513586997986, -0.17975345253944397, -0.3395867943763733, -0.8030283451080322, 0.05134883522987366, 0.7026599645614624, 0.006610064767301083, -0.16870127618312836, -0.44764989614486694, -0.10905130952596664, -0.5120223760604858, -0.307856529...
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ...
purpose
0
NIv2
task1163_coda19_section_classification
zs_opt
[ -0.558307409286499, 0.6216239929199219, 0.25749608874320984, -0.20267453789710999, -0.3604966402053833, 0.4721684157848358, 0.7781527042388916, 0.43939727544784546, 0.2484731376171112, -0.1047106683254242, -0.9181462526321411, -0.09862220287322998, -0.471131294965744, 0.15324684977531433, ...
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi...
WP VBZ DT NNP WP$ NNS WP$ JJ NN VBP NNP .
3
NIv2
task345_hybridqa_answer_generation
fs_opt
[ -0.12480807304382324, 0.5423784852027893, -0.5152883529663086, 0.3515143394470215, -0.39542949199676514, -0.3069186210632324, 0.5989303588867188, 0.29993706941604614, -0.18160480260849, 0.29573696851730347, -0.21062885224819183, 0.35382354259490967, -0.4932003319263458, 0.13665464520454407...
TASK DEFINITION: You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew. PROBLEM: Nie zawsze jednak tak było. SOLUTION: אבל זה לא היה כך תמיד. PROBLEM: To działa dopóki polegamy na właściwych ludziach. SOLUTION: כלומר, זה עובד כל עוד זה נועד לתקן אחרים. PROBLEM: Wśród polityków...
האם היא שם עם הפוליטיקאים?
8
NIv2
task1260_ted_translation_pl_he
fs_opt
[ -0.6682444214820862, 0.028661902993917465, -0.1112135648727417, 0.3919343948364258, -0.38526707887649536, -0.010765722021460533, 1.7445013523101807, -0.2545143961906433, 0.2828407883644104, -0.2859122157096863, -0.10158170759677887, 0.48044553399086, -0.3949974477291107, 0.2979480624198913...
Detailed Instructions: Given a text passage, come up with an appropriate title for it. The title should accurately represent what the main focus of the passage is. The title of a passage may be present in the first few sentences of the passage and/or be referred to multiple times in the passage. The title should be 1-5...
Origination Clause
9
NIv2
task769_qed_summarization
zs_opt
[ 0.1323176473379135, 0.7636322975158691, -0.3326976001262665, 0.7487578988075256, 0.018623314797878265, -0.2881903648376465, 0.6217125654220581, 0.7300955653190613, 0.11261554062366486, 0.6519938707351685, -0.1855127215385437, 0.14347633719444275, -0.7624226808547974, 0.26763415336608887, ...
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English. Problem:دعونا نقول أنّني صياد ومزارع. Solution:
Let's say I'm a fisherman and a farmer.
8
NIv2
task1230_ted_translation_ar_en
zs_opt
[ -0.4091503620147705, 0.1385875940322876, -0.2618480324745178, -0.8068208694458008, -0.3742711842060089, -0.16161499917507172, 0.4189128279685974, 0.31907394528388977, 0.2045530378818512, -0.24077454209327698, -0.30249765515327454, -0.2813749313354492, -1.2394771575927734, 0.082384087145328...
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction where a phrase a...
good
0
NIv2
task1560_blimp_binary_classification
zs_opt
[ 0.12431848049163818, 0.4088417589664459, -0.010564211755990982, -0.28852927684783936, -0.6788610816001892, -0.9816970229148865, 1.0019304752349854, 0.11042545735836029, 0.34255659580230713, -0.25869542360305786, -0.971204936504364, -0.20434975624084473, -0.5350050926208496, 0.5055577754974...
Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun). Input: दुर्भाग्य से , अटल बिहारी वाजपेयी की कमजोर सरकार के ...
Unfortunately , because Atal Bihari Vajpayee runs a weak government , politicians have allowed themselves to be used as tools in the game and ministers have also made statements of the “ clinching evidence ” kind .
3
NIv2
task424_hindienglish_corpora_hi_en_translation
zs_opt
[ -0.20763932168483734, 0.3096832036972046, 0.18256810307502747, -0.07373086363077164, 0.2277798056602478, -0.8098177909851074, 0.7622494697570801, 0.595170259475708, -0.30170220136642456, -0.07251271605491638, -0.6103851795196533, -0.3097832202911377, -0.19518737494945526, 0.452466040849685...
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese. Input: Pensateci come un microscopico numero di vecchi economisti e ideologisti non rappresentativi che si sono appropriati del processo. Output:
妥協できないのはごく少数時代遅れの経済学者と偏った狂信家です
3
NIv2
task1248_ted_translation_it_ja
zs_opt
[ -0.5005440711975098, 0.21817150712013245, -0.4962976276874542, -0.21029695868492126, -0.398965448141098, -0.5390284061431885, 0.5448113679885864, 0.934367299079895, 0.44387421011924744, -0.4889872670173645, -0.7117745876312256, -0.3049336373806, 0.05934232473373413, 0.3403770923614502, 0...
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs. One example: Text: Cheval de soins pour les enfants de 3 ans! Solution is here: French Explanation: The given text is in French language Now, solve this: Text: 29 iyo malab...
Somali
6
NIv2
task447_opus_paracrawl_classification
fs_opt
[ -0.20196440815925598, 0.532874584197998, -0.06939618289470673, -0.9385113716125488, 0.05402877926826477, -0.1864466369152069, 0.4199714660644531, 0.8388943672180176, 0.33701932430267334, -0.09992256760597229, -0.36351528763771057, 0.24026457965373993, -1.0534924268722534, -0.16284891963005...
Definition: You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown". Input: Event:PersonX makes a lot of noise. Intent: 1) to help persony 2) to be nice 3) to utilize their skills Output:
Negative
2
NIv2
task923_event2mind_classifier
zs_opt
[ -0.5785107612609863, -0.015273554250597954, 0.03289972245693207, -0.28794050216674805, -0.06890243291854858, -0.8663203716278076, 1.1099371910095215, 0.18161115050315857, 0.14366132020950317, -0.08591953665018082, -0.012768539600074291, 0.057334430515766144, -0.4897194802761078, -0.1359491...
In this task, you are given dvd product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative. Q: Un grand spectacle !! . La guerre de Troie revisitée par Wolfgang Petersen, c'est un scéna...
POS
4
NIv2
task483_cls_french_dvd_classification
zs_opt
[ -0.24085354804992676, 0.16249363124370575, -0.37849125266075134, 0.149850994348526, 0.5030401349067688, -0.4682123064994812, 1.350208044052124, 0.026487957686185837, 0.5530486106872559, 0.7880319356918335, -0.126905158162117, -0.683850884437561, 0.2072151005268097, -0.41258588433265686, ...
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish. Problem:في عام 1968 خطر ببالي ان اضع قاعة للموسيقى في الجهة الشمالية للمبنى اثناء بناءه. Solution:
W 1986 zachowałem wystarczająco przytomny umysł, by zbudować salę koncertową w północnej części tego budynku, gdy jeszcze go budowałem.
8
NIv2
task1107_ted_translation_ar_pl
zs_opt
[ 1.047349214553833, 0.7175857424736023, -0.880051851272583, -0.03025558590888977, -0.4078036844730377, 0.41630318760871887, 1.2323696613311768, -0.02572653256356716, 0.5015819668769836, -0.5451498031616211, -0.8419342041015625, 0.23505687713623047, -0.4190758168697357, 0.21335524320602417, ...
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi. Q: 僕は現代美術が大好きですがこの世界とこの環境に強く不満を感じることがよくあります A:
من عاشق هنر معاصر هستم اما گاهی اوقات ، از هنر معاصر دنیا و نمایش هنر معاصر خسته میشم.
9
NIv2
task1098_ted_translation_ja_fa
zs_opt
[ -0.52670818567276, -0.05065860599279404, 0.04645812511444092, -0.0842188149690628, -0.07241984456777573, -0.5030631422996521, -0.3879827857017517, -0.1938380002975464, 0.17534133791923523, -0.14938956499099731, -0.34307861328125, 0.12043926119804382, -0.013222098350524902, 0.29416507482528...
You will be given a definition of a task first, then some input of the task. In this task, you are given a question and a context passage. You have to answer the question based on the given passage. What was the main issue for the ROK forces?, Context: In contrast, the ROK Army defenders were relatively unprepared and...
unprepared and ill-equipped
1
NIv2
task1295_adversarial_qa_question_answering
zs_opt
[ 0.6392846703529358, 0.6909306049346924, -0.2551376223564148, -0.020723450928926468, 0.2986137568950653, -0.4530348777770996, 0.5932934284210205, 0.6280152797698975, 0.4599371552467346, 0.0635576918721199, -0.26194801926612854, -0.716264009475708, -0.4273923933506012, 0.2495349794626236, ...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you are given a sentence in English, and your task is to translate it into Persian. not just the words . and thats where a great film editor can help a director . Solution: فقط کلمات ن...
مطمئنم که اينکارو ميکنه .
0
NIv2
task658_tep_en_fa_translation
fs_opt
[ -0.7933657169342041, 0.325619637966156, -0.17652010917663574, 0.1571248471736908, -0.20110613107681274, -0.21729835867881775, 0.7468995451927185, 0.4683574438095093, 0.2900453209877014, -0.06844599545001984, -0.33577293157577515, -0.31356948614120483, -0.7156285047531128, 0.504056215286254...
TASK DEFINITION: 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 sentence o...
The people behind him honked their horns impatiently. They were getting frustrated, but Joe wouldn't go on a red light. He said that it was faulty, but it wasn't worth getting a ticket for.
8
NIv2
task269_csrg_counterfactual_story_generation
fs_opt
[ 0.2375839650630951, 0.1584586799144745, 0.01942688599228859, 0.3396050035953522, 0.3247703015804291, -0.055636025965213776, 0.1445145308971405, 1.35703706741333, 0.1703099012374878, -0.025678034871816635, -0.3083246946334839, -0.35827308893203735, -0.11599534749984741, 0.11862754076719284,...
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. Aquel día cambiou a mińa práctica clínica e, en última instancia, a mińa carreira.
اون روز شیوه طبابت من و در نهایت زندگی حرفهای من را تغییر داد.
5
NIv2
task1245_ted_translation_gl_fa
zs_opt
[ -1.0752431154251099, 0.8126132488250732, 0.24613355100154877, -0.6570899486541748, -0.5698210597038269, -0.3777347803115845, 0.20784929394721985, 0.19557687640190125, 0.27143409848213196, -0.05492820590734482, -0.46298423409461975, 0.4462967813014984, -0.4044402837753296, 0.307152628898620...
Given the task definition and input, reply with output. This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answe...
Apellaios
5
NIv2
task075_squad1.1_answer_generation
zs_opt
[ 0.7239941358566284, 0.7568446397781372, -0.4545946717262268, 0.17891642451286316, -0.6335185766220093, -1.1795144081115723, 0.291297048330307, 0.1798669993877411, 0.8100582957267761, -0.2593660354614258, -0.7704283595085144, 1.3595926761627197, -0.991814911365509, 0.04988185688853264, 0....
Q: We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A...
Not similar
7
NIv2
task147_afs_argument_similarity_gay_marriage
zs_opt
[ -0.5029281973838806, 0.5950005650520325, 0.5156885385513306, 0.29448652267456055, 0.25299012660980225, -0.38442933559417725, 0.7557291984558105, 0.4989725649356842, 0.2107001543045044, 0.05859750509262085, -0.3390028476715088, 0.5441365838050842, -0.5613828897476196, -0.16033485531806946, ...
Detailed Instructions: 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 return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is present in the list between the given ...
23080
8
NIv2
task606_sum_of_all_numbers_in_list_between_positions_i_and_j
zs_opt
[ -0.24759145081043243, 0.5237551927566528, -0.43159013986587524, -1.1654475927352905, -0.2861342430114746, 0.4002838134765625, 0.23571987450122833, -0.07509231567382812, -0.24932298064231873, -0.14437469840049744, -0.38498204946517944, 0.9343512654304504, 0.15459084510803223, 0.004601644352...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese. One example is below. Q: מה מייחד את המוח האנושי? A: 人の脳の何がそんなに特別なのでしょうか ? Rationale: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain. Q: ואז תפרו אותי. לקח להם שעה שלמה לתפור או...
その後体の縫合に1時間かかりました
9
NIv2
task1235_ted_translation_he_ja
fs_opt
[ -0.4380873441696167, 0.39705944061279297, 0.28425896167755127, -0.07614383101463318, -0.9090690612792969, -0.25606614351272583, 0.698410153388977, -0.6790830492973328, 0.9253252744674683, -0.9930795431137085, -0.8741558790206909, -0.010820265859365463, -0.6653451919555664, 0.85493075847625...
This task is to translate the Telugu Language Input to English Language Output Q: మాకు ఇమెయిల్ పంపండి info@anatod.com A:
FTTx - Wireless
4
NIv2
task1617_cc_alligned_translate_tel_eng
zs_opt
[ -0.49092355370521545, 0.6318787336349487, 0.716895580291748, -0.5331284999847412, -0.06886114925146103, -0.8566876649856567, -0.046050045639276505, -0.05048514902591705, -0.03429333120584488, 0.11022736132144928, 0.5206052660942078, -0.11152516305446625, -1.0878567695617676, 0.244445025920...
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...
2
6
NIv2
task200_mnli_entailment_classification
fs_opt
[ 0.46593624353408813, 0.12258095294237137, 0.14355731010437012, -0.15703290700912476, 0.06640587747097015, -0.14226478338241577, -0.2396622896194458, 0.8451189994812012, 0.7433487772941589, -0.25682657957077026, -0.1511876881122589, -0.4536868929862976, -0.0061180246993899345, -0.3696896433...
Detailed Instructions: In this task you are given a list of numbers and you need to find the average of each two consecutive values. The average of two numbers a and b is calculated as: (a + b) /2. The output should be a list of the averages of each two consecutive values. A list is presented with two brackets and comm...
[20.0, -23.0, 39.0, 41.5, 50.5]
8
NIv2
task124_conala_pair_averages
zs_opt
[ -0.590194821357727, -0.08131038397550583, -0.6659162044525146, -0.24773848056793213, -0.028189944103360176, 0.5122212171554565, 0.6311290860176086, 0.5535029172897339, 0.031179606914520264, -0.273581862449646, -0.533805251121521, -0.3615068197250366, -0.02631695754826069, 0.474286437034606...
instruction: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in th...
None
9
NIv2
task294_storycommonsense_motiv_text_generation
fs_opt
[ -0.7079846858978271, -0.17683690786361694, -0.4336755871772766, -0.399978369474411, 0.16539108753204346, -0.43756386637687683, 0.38023918867111206, 0.946457028388977, 0.0692436546087265, -0.21148282289505005, 0.0677204430103302, -0.3041627109050751, -0.163957417011261, -0.1535942554473877,...
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian. Teacher: Now, understand the problem? Solve this instance: ستيف جيرفيتسن: هاهي ، فوق أحد الأكواب Student:
SJ: Sei sopra un bicchiere.
6
NIv2
task1106_ted_translation_ar_it
zs_opt
[ 0.13220247626304626, 0.0031966473907232285, -0.1111922636628151, -0.43172284960746765, -0.253587007522583, -0.27792611718177795, 0.7621569633483887, 0.5784318447113037, 0.07621175050735474, -0.3561115264892578, -0.3221338987350464, 0.08192078024148941, -0.6734999418258667, -0.0912744104862...
Teacher: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. Teac...
[35, 181, 183, 177]
6
NIv2
task205_remove_even_elements
zs_opt
[ -0.6304212808609009, 0.06639304757118225, 0.02487204223871231, -0.943169355392456, 0.22346147894859314, -0.6736277937889099, 0.7486917972564697, 0.6182706356048584, -0.5117906332015991, 0.4262000620365143, -0.5705379247665405, -0.10404494404792786, -0.2593078315258026, -0.690031886100769, ...
Teacher:In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating t...
Bob earned double points for his team with this great idea!
6
NIv2
task071_abductivenli_answer_generation
zs_opt
[ -0.1638479083776474, 0.3258286118507385, 0.2797638773918152, -0.6250056028366089, -0.47601592540740967, -0.6293507218360901, 0.4402194619178772, 0.436367392539978, -0.2013344168663025, -0.0006261698435992002, -0.46939677000045776, 0.5434945225715637, 0.05831943079829216, -0.355027973651886...
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not. We recently visited fami...
going into work sick, then leaving against my supervisors request
0
NIv2
task500_scruples_anecdotes_title_generation
fs_opt
[ 0.13817822933197021, 0.14216387271881104, -0.15522202849388123, -0.3374510407447815, 0.7288318872451782, -0.5720810890197754, 0.6601375937461853, 1.2400119304656982, 0.06536783277988434, 0.13145838677883148, -0.21332725882530212, 1.080251932144165, -0.513820230960846, 0.3391648530960083, ...
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the given input...
L, U, R, T, i, x, A, h, Z, a, 1391, 6747, 1521, 9807, 5371, 4647, 9663
0
NIv2
task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately
zs_opt
[ -0.49167054891586304, 0.8921634554862976, 0.05571954697370529, -0.0344657227396965, -0.06583163142204285, 0.10702789574861526, 0.2110249400138855, -0.02163691073656082, -0.6720147132873535, 0.36690235137939453, -0.6204948425292969, -0.11682894825935364, 0.035311635583639145, 0.116485223174...
Q: 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. Article: (1)Full-time Secretary Position Available Applicants should have at least 2 year's experience and be able to type 60 words a minute.No computer skills required.Apply in perso...
Which position is most suitable for a retired person?
7
NIv2
task311_race_question_generation
zs_opt
[ 0.0717514231801033, 1.0132765769958496, 0.08761297911405563, -0.6168265342712402, 0.37074923515319824, -0.38716840744018555, -0.007021944969892502, 0.3864819407463074, 0.5832622051239014, -0.22976908087730408, 0.22297942638397217, 0.986899733543396, -0.4768277108669281, 0.07554158568382263...
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Telugu language. The translation must not omit or add information to the original sentence. Q: એએસઆરબી પાસેથી બજેટ વડાને પણ અલગ કરવામાં આવશે અને ડીએઆરબી અંતર્ગત તેની રચના કરવામાં આવશે તેમજ સચિવાલયમાં એએસઆરબીની તેની પોતાની...
ఎఎస్ఆర్‌బి యొక్క బ‌డ్జెట్ హెడ్ ను కూడా ఐసిఎఆర్ నుండి వేరు ప‌ర‌చి, డిఎఆర్ఇ లో భాగంగా ఏర్పాటు చేస్తారు. అలాగే, ఎఎస్ఆర్‌బి కి స‌చివాల‌యం లో త‌న‌కంటూ సొంత అడ్మినిస్ట్రేటివ్ స్టాఫ్ తో పాటు స్వ‌తంత్ర‌మైన ప‌రిపాల‌న సంబంధ నియంత్రణ కూడా ద‌క్కే అవ‌కాశం ఉంది.
9
NIv2
task1013_pib_translation_gujarati_telugu
zs_opt
[ 0.380693644285202, 0.5188984870910645, 0.0803297609090805, 0.30182623863220215, 0.1318732351064682, -0.8368630409240723, 0.6545401811599731, -0.2813211679458618, 0.2689114809036255, -0.07057224214076996, 0.3363971710205078, -0.28318220376968384, -1.0495598316192627, 0.5355258584022522, -...
Part 1. Definition This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done. Part 2. Example Cosa è andato storto nel 2...
最后,南非的问题反映在人们对政府丧失信心、腐败根深蒂固、基础设施需求巨大、劳动力市场和外来投资监管过于严格。而从改革的角度讲,总统祖玛的方向也并不正确。
7
NIv2
task1376_newscomm_translation
fs_opt
[ -0.6430367231369019, 0.4931700825691223, -0.5798130035400391, -0.389933705329895, -0.11883663386106491, 0.47561806440353394, 0.7305718660354614, 0.802314043045044, -0.2503812909126282, 0.3802819848060608, -0.5785599946975708, 0.564469039440155, -0.33386415243148804, -0.28259360790252686, ...
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ...
Solution: Yes
5
NIv2
task1215_atomic_classification_capableof
fs_opt
[ 0.5652331113815308, 0.36868196725845337, 0.4124009311199188, 0.11931324005126953, -0.1568569391965866, -0.7238865494728088, 0.8925691843032837, 0.876880943775177, -0.11099235713481903, -0.460080623626709, -0.5674833059310913, -0.09306491166353226, -0.4807504713535309, 0.19239073991775513, ...
Teacher:You will be given three sentences. Read them, then identify a noun phrase (person, place, or thing) or event that is shared between all three sentences. As the output, write the span of the text corresponding to that phrase in each sentence. Keep the order of the sentences, that is, your answer should look like...
1: teammate Nico Rosberg 2: Rosberg , who won last year 's GP at Albert Park 3: Nico Rosberg
6
NIv2
task281_points_of_correspondence
zs_opt
[ -0.8671971559524536, 0.17024332284927368, 0.17874164879322052, -0.726743221282959, 0.19688278436660767, -0.2930307984352112, -0.039693545550107956, 1.187744140625, -0.1404019594192505, 0.09820827841758728, -0.8052927255630493, 0.277235746383667, -0.13954031467437744, -0.09686854481697083, ...
TASK DEFINITION: Categorize the following sentence into one of the five different emotions: anger, confusion, joy, sadness and neutral. PROBLEM: I think it’s a bit more complicated than that, it also would appear I may have been misunderstood. SOLUTION: confusion PROBLEM: Sadly, he seems immune to bans. He also dodge...
neutral
8
NIv2
task889_goemotions_classification
fs_opt
[ 0.8450208306312561, -0.05215110629796982, 0.6233476400375366, -0.029510194435715675, 0.13625401258468628, -0.4270927309989929, 0.40303927659988403, 0.48919039964675903, 0.7766549587249756, 0.2493468075990677, -0.3221368193626404, -0.34814420342445374, -0.29989591240882874, -0.3429635167121...
Given the background description of some cooking related query, summarize the question into a title [Q]: I always keep bread around, home-made or otherwise. Is there a way to keep it from molding, or at least delay the process?I've tried the fridge with some success (extra day or two), but I don't like my bread that c...
Canning chili with beans
5
NIv2
task1637_doqa2.1_cooking_text_summarization
fs_opt
[ 0.48030585050582886, 0.9943407773971558, -0.4501076936721802, 0.1117391362786293, -0.4183025360107422, -0.2992832660675049, 0.4347897469997406, 0.5156377553939819, -0.8874624967575073, -0.4566578269004822, -0.1523711383342743, 0.3482781648635864, -0.30355924367904663, 0.6195186376571655, ...
Definition: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs. Input: Text: 26 Ilaahna wuxuu yidhi, Aan nin inoo eg ka samayno araggeenna, oo iyagu ha xukumeen kalluunka badda, iyo haadda hawada, iyo xoolaha, iyo dhulka oo d...
Somali
2
NIv2
task447_opus_paracrawl_classification
zs_opt
[ 0.24278071522712708, 0.622848629951477, 0.5407390594482422, -0.7013382911682129, 0.36711785197257996, -0.8531676530838013, -0.31606340408325195, 0.0855877548456192, -0.2120887190103531, -0.27721524238586426, -0.27120479941368103, 0.179515540599823, -0.7133342027664185, -0.2123192846775055,...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish. Ex Input: אבל למרבה המזל, תנועת הנגד קיימת גם בקרב ההורים ואפשר למצוא ערים בארה "" ב שמתאחדות אלו עם אלו ואוסרות על קיום חוגים ביום מסוים בחודש, כדי שאנשים יוכלו, להוריד קצת מהלחץ, לבלות עם המשפחה ולהאט. Ex Output: Pero por...
Tres grupos de variables para cada país, tres datos.
1
NIv2
task1236_ted_translation_he_es
fs_opt
[ -0.6980241537094116, -0.15243732929229736, -0.5263986587524414, -0.19045574963092804, -0.8162887096405029, -0.37349963188171387, 0.10600895434617996, 0.810224711894989, 0.4906088709831238, -0.32453638315200806, -0.8802046775817871, 0.9260903596878052, -0.36674368381500244, -0.9327162504196...
Detailed Instructions: Given a statement, generate a question such that the answer is contained in that statement. Problem:Some animals that eat grass have more than one stomach. Solution:
How many stomachs do some animals that eat grass have?
8
NIv2
task1580_eqasc-perturbed_question_generation
zs_opt
[ 0.2843143343925476, 0.8991926908493042, 0.05997082218527794, -0.5077726244926453, -0.9306279420852661, -0.4377335011959076, 0.1622190922498703, 0.07903392612934113, -0.5792108774185181, -0.8475870490074158, -0.49247393012046814, -0.4558790922164917, -1.1296347379684448, 0.6222373247146606,...
Instructions: Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabili...
अगर आप किसी विचार को समझाना चाहते हैं तो आपको कल्पना करनी चाहिए ।
3
NIv2
task407_mickey_hi_sentence_perturbation_generation
zs_opt
[ -0.695444643497467, 0.1840311586856842, 0.032231129705905914, 0.38230106234550476, -0.5134237408638, -1.2034608125686646, 0.5141417384147644, 0.5176292657852173, -0.011927817016839981, -0.712395429611206, -1.1319067478179932, -0.14885568618774414, 0.4398931562900543, 0.1915285885334015, ...
Given the task definition and input, reply with output. In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer wi...
against
5
NIv2
task1727_wiqa_what_is_the_effect
zs_opt
[ -0.34184956550598145, 0.7212960720062256, -0.4089773893356323, -0.8520171642303467, -0.42227596044540405, -0.39704376459121704, 0.3510693907737732, 0.9483479261398315, 0.12206529080867767, -0.13802851736545563, -0.5782309174537659, -0.6209837198257446, -0.33292365074157715, 0.5134159326553...
Detailed Instructions: In this task you will be given a list of strings and you need to concatenate them. Problem:['i', 'Ahab,', 'C', 'W', 'v', 'ship', 'r'] Solution:
iAhab,CWvshipr
8
NIv2
task079_conala_concat_strings
zs_opt
[ 0.3323252201080322, -0.050203368067741394, -0.11095631122589111, -0.5575892329216003, -0.1713102012872696, 0.4947316646575928, 0.5176334381103516, 0.06773056834936142, 0.13369017839431763, 0.055455878376960754, -0.12110859155654907, -0.5785276889801025, -0.7361411452293396, -0.261461734771...
You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence. Input: Consider Input: Mudhoney, is it any good? Output: good Input: Consider Input: the movie Tennessee Johnson, when was it released? ...
Output: C. Thomas Howell, Brian Krause, Frankie Cullen, Melissa Brasselle
2
NIv2
task615_moviesqa_answer_generation
fs_opt
[ -0.47038665413856506, 0.869393527507782, -0.4639083445072174, 0.8533375263214111, 0.120872363448143, 0.03012567013502121, 0.5780748724937439, 0.4333731532096863, 0.33393076062202454, 0.3296181559562683, -0.4380558133125305, 0.3710083067417145, -0.9190343618392944, -0.9244211316108704, 0....
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected...
Bad
0
NIv2
task673_google_wellformed_query_classification
fs_opt
[ -0.4218229651451111, 0.41797083616256714, -0.026659943163394928, 0.04930131137371063, -0.02491130121052265, -0.1208198294043541, 0.6316652894020081, 0.01389569416642189, -0.0016616960056126118, 0.2000771462917328, -0.13302916288375854, -0.32180076837539673, -0.3544456958770752, -0.20780014...
TASK DEFINITION: Answer the question from the given passage. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence. PROBLEM: Passage: Child labour is common in Kenya. Most working children are active in agriculture. In 2006, UNICEF estimated that up...
increased settlement and deforestation
8
NIv2
task1608_xquad_en_answer_generation
fs_opt
[ 0.46129393577575684, 0.2773122787475586, -0.559259295463562, -0.3875429332256317, -0.5585381984710693, 0.13084661960601807, 0.5180014371871948, 0.9318208694458008, 0.040761128067970276, 0.7418533563613892, -0.8584706783294678, 0.16613179445266724, -0.8345874547958374, 0.2628665566444397, ...
Q: Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments. Sentence: 'Patrick Bannon was born in Thurlas , County Tipperary , Ireland , in April , 1814 .', Argument/Subject 1: 'patrick', Argument/Subject 2: 'i...
be bear in
7
NIv2
task676_ollie_relationship_answer_generation
zs_opt
[ 0.7788405418395996, 1.0003013610839844, 0.15110346674919128, 0.4276732802391052, 0.014387802220880985, -0.77398681640625, -0.2938661575317383, -0.207956463098526, 0.16928085684776306, 0.4433206617832184, -0.2668043076992035, 0.5534117221832275, -1.2504637241363525, -0.04002426937222481, ...
Q: 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. Recent whole genome association studies have independently identified multiple prostate cancer (PC)...
0
7
NIv2
task848_pubmedqa_classification
zs_opt
[ -0.24508905410766602, 0.04229535162448883, -0.3694605529308319, 0.2589457035064697, 0.532101035118103, -0.4984061121940613, 0.15835264325141907, 0.7121528387069702, 0.5858770608901978, 0.648762047290802, -0.45664364099502563, 0.37549644708633423, -0.4448760747909546, -0.01870208978652954, ...
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement. Q: The troll then walks up to someone, who has fallen on the ground. A: Unfazed by the bullets, he crushes the last deputy's head. **** Q: She's shown again tying her shoes close u...
The skiers cut back and fourth down a steep ski slope hill. ****
4
NIv2
task455_swag_context_generation
fs_opt
[ -0.06719757616519928, 1.385688304901123, -0.3447282016277313, 0.2842663526535034, -0.10047100484371185, -0.14719879627227783, 0.846051037311554, -0.06380267441272736, 0.00615150248631835, 0.05720824748277664, 0.11622710525989532, 0.25965529680252075, -0.17934614419937134, 0.731899619102478...
instruction: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False". question: Paragraph: The present study was...
True
9
NIv2
task1162_coda19_title_classification
fs_opt
[ 0.1287664771080017, -0.09725525230169296, -0.45086002349853516, 0.6413923501968384, 0.03914233297109604, -0.32608893513679504, 0.8566380739212036, 0.7049866318702698, 0.03578129783272743, 0.4371981620788574, -0.7287909388542175, 0.054025162011384964, -0.3531074523925781, 0.3893172144889831...
Definition: In this task, you are given two sentences in the English language and your task is to classify them into one of their discourse types. A discourse type is an indicator to classify the given two sentences on the basis of a co-text as well as a relevant context. There are 13 discourse types in total which are...
PAIR_CONN_ANAPHORA
2
NIv2
task564_discofuse_classification
zs_opt
[ 0.8663629293441772, -0.32474076747894287, 0.020497668534517288, -0.3356607258319855, -0.13400474190711975, -0.31286996603012085, 0.5769224762916565, 0.43368715047836304, -0.08872300386428833, 0.10290058702230453, -0.4921780824661255, -0.5377978086471558, -0.31325364112854004, -0.2183466553...
Given the task definition and input, reply with output. In this task you are given a premise and two alternatives in Italian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise (1)alternative_1(2)alternative_2", the output s...
2
5
NIv2
task1172_xcopa_commonsense_reasoning_it
zs_opt
[ -0.6852433085441589, 0.8490775227546692, 0.056412577629089355, 0.383195161819458, -0.8434089422225952, 0.17428511381149292, 0.6385779976844788, 1.0815389156341553, -0.31739723682403564, -0.3486117422580719, -0.7814356088638306, 0.07436750829219818, -0.22150948643684387, 0.4358741343021393,...
Q: In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words. Deep learning methods have achieved high performance in sound recognition tasks. Deciding how to feed the training ...
We propose an novel learning method for deep sound recognition named BC learning.
7
NIv2
task668_extreme_abstract_summarization
zs_opt
[ 0.12337350100278854, -0.03349032253026962, -0.5297330617904663, 0.08658857643604279, 0.14889958500862122, -0.4130176305770874, 0.7771028280258179, 1.1275917291641235, 0.3960394859313965, 0.5334897041320801, 0.00744970329105854, 0.37286102771759033, -0.05370813608169556, -0.5136675834655762...
You will be given a definition of a task first, then some input of the task. In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (...
unique
1
NIv2
task212_logic2text_classification
zs_opt
[ 0.08785375952720642, -0.4274764060974121, -0.2604498267173767, 0.47077369689941406, 0.6541836857795715, -0.4761236906051636, 0.8477023839950562, 0.5700863599777222, 0.26799049973487854, -0.03036828711628914, -0.028736261650919914, 0.05464595928788185, 0.10012282431125641, 0.544630408287048...
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense. Beginning: Joe had quit...
1
0
NIv2
task070_abductivenli_incorrect_classification
fs_opt
[ -0.23542383313179016, 0.691993236541748, -0.0220170971006155, -0.1649283766746521, -0.3288053572177887, -0.04132885858416557, 0.12113861739635468, 1.1353604793548584, -0.15145272016525269, 0.20816750824451447, -0.5716544389724731, -0.25235235691070557, -0.35789647698402405, -0.686427950859...
Teacher:In this task you are given a premise and two alternatives in Haitian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is "premise (1)alternative_1(2)alternative_2", the output should either be "1" or "2" based on your judgmen...
2
6
NIv2
task1168_xcopa_commonsense_reasoning_ht
zs_opt
[ 0.2890925705432892, 0.274247944355011, 0.018109779804944992, -0.051416777074337006, -0.41791248321533203, -0.4507996439933777, 0.05540617182850838, 0.8750789165496826, 0.29712381958961487, -0.2382282018661499, -0.4529643654823303, -0.4103477895259857, -0.27516764402389526, 0.31796061992645...
This task is about translating a given English language sentence to French. Q: I've gotta talk to you. A: - Je dois te parler. **** Q: Changing by the minute and the record on repeat Took a sip, then another sip, then somebody said to me: A: Celui d'être déchiré Remplissant mon verre je vois la foule bouger Changean...
Juste une gorgée. ****
4
NIv2
task1689_qed_amara_translation
fs_opt
[ -0.012805145233869553, 1.2632784843444824, 0.24273833632469177, -0.5478301644325256, 0.12280517816543579, -0.17757433652877808, 0.678890585899353, -0.6407197713851929, 0.11570919305086136, -0.36084750294685364, 0.05759492516517639, -0.6829836368560791, -0.8635826110839844, 0.56876677274703...
Instructions: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence ...
how do organisms in the environment interact with mercury .
3
NIv2
task102_commongen_sentence_generation
zs_opt
[ -0.35753923654556274, 0.21093828976154327, -0.6088280081748962, -0.14778588712215424, -0.5552501082420349, -1.087920904159546, -0.034058477729558945, 0.3549049496650696, -0.17491011321544647, -0.20464149117469788, -0.747954249382019, -0.011883331462740898, -0.2360312044620514, 0.0001282294...
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ...
Yes
5
NIv2
task1215_atomic_classification_capableof
fs_opt
[ 0.3696116805076599, 0.5323675870895386, 0.3878118693828583, -0.21543100476264954, -0.31566670536994934, -0.7485833168029785, 0.38616639375686646, 0.5298458337783813, -0.20221416652202606, -0.1987365186214447, -0.5867190361022949, -0.465069055557251, -0.593503475189209, 0.06603721529245377,...
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence. Adam found himself in a horrible situation. fear The situation makes Roger ...
fear
0
NIv2
task1338_peixian_equity_evaluation_corpus_sentiment_classifier
fs_opt
[ -0.4543149769306183, 0.33188802003860474, 0.5252139568328857, -1.039513111114502, -0.4343583285808563, -0.11835699528455734, 0.7706865668296814, 0.5366127490997314, 0.3714490234851837, -0.4651731848716736, -0.7174059152603149, -0.5333346724510193, -0.557966947555542, -0.5523136854171753, ...
Given the task definition, example input & output, solve the new input case. You are given a set of queries separated by ' ', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors. Example: How many miles is 43560 ? What is the na...
How does the acid rain solution effect on the enviroment ?
1
NIv2
task674_google_wellformed_query_sentence_generation
fs_opt
[ 0.39130136370658875, 0.537308931350708, -0.2475287765264511, 0.1360352486371994, -0.22068998217582703, 0.3124851584434509, 0.6268250346183777, -0.12537941336631775, -0.16599497199058533, -0.11934423446655273, -0.2996189594268799, 0.08433640003204346, 0.28851816058158875, -0.603602886199951...
Q: In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link]. This paper considers the problem of model-based policy search. The a...
en
7
NIv2
task265_paper_reviews_language_identification
zs_opt
[ -0.23923268914222717, 0.30115950107574463, -0.031921304762363434, 0.2613002359867096, -0.23433369398117065, -0.5338401794433594, 0.6235228776931763, 0.7123173475265503, 0.38558945059776306, 0.3801683783531189, -0.7947149276733398, 0.8612171411514282, 0.03515119105577469, 0.3462375998497009...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician. Ex Input: To jeden z przykładów. Ex Output: É unha desas cousas. Ex Input: No i oczywiście im bardziej rozwinięty kraj, tym większe góry śmieci. Ex Output: E, obviamente, canto máis desenvolvido sexa o país, maiores ser...
Pois no laboratorio podemos medir a atención.
1
NIv2
task1261_ted_translation_pl_gl
fs_opt
[ -0.6803594827651978, 0.30546408891677856, -0.1836809366941452, -0.04175490885972977, -0.33301231265068054, -0.36225882172584534, 1.0040572881698608, 0.5296497344970703, -0.5635346174240112, -0.6068087220191956, -0.8920350670814514, 0.7185121178627014, -0.08640129864215851, 0.41278791427612...
Detailed Instructions: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense. Q: B...
1
9
NIv2
task069_abductivenli_classification
zs_opt
[ -0.7676808834075928, 0.6005033254623413, -0.15916189551353455, -0.289671391248703, -0.8876051306724548, 0.2779502868652344, 0.5122513771057129, 0.8285078406333923, 0.2983018755912781, -0.005782412365078926, -0.7761650681495667, 0.02190518006682396, -0.7348638772964478, 0.03323730081319809,...
Generate a correct and concise answer for the question based on the words in the context. Context : Henk Zanoli (21 April 1923) is a retired lawyer and former member of the Dutch resistance during World War II, who was awarded the honorific title Righteous Among the Nations, but returned his medal after an Israeli air...
Righteous Among the Nations
0
NIv2
task1327_qa_zre_answer_generation_from_question
zs_opt
[ 0.6092442274093628, 0.9138601422309875, 0.7098227739334106, 0.13308215141296387, -0.6762243509292603, -0.6271694898605347, 0.7870489358901978, -0.39260560274124146, 0.15167324244976044, -0.5207005739212036, -0.7609211206436157, 1.2826457023620605, -1.188976526260376, 0.08107341825962067, ...
Q: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. Dr. Luanne Metz, direktur Klinik MS Calgary di Departemen Klinis Neurosciences, Universitas Calgary dan Kawasan Kesehatan Cal...
カルガリー大学カルガリー・ヘルス・リージョン臨床神経科学学科、カルガリー多発性硬化症クリニック長のルアン・メス博士は「この発見は初期段階で疾病を安定させる現在の治療よりも一歩進んだ多発性硬化症治療の可能性を持っている」
7
NIv2
task1116_alt_id_ja_translation
zs_opt
[ -0.3379613161087036, 0.3842322826385498, -0.5878249406814575, -0.8105955123901367, 0.17748680710792542, -0.3230229616165161, 0.5312983393669128, 0.5691729784011841, 0.5407443642616272, -0.39564406871795654, -0.27373751997947693, 0.46394217014312744, -0.6734689474105835, 1.0249089002609253,...
Q: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters. Category: WHAT ARE YOU... CHICKEN? Clue: Diced chicken in a rich cream with mushrooms, pimi...
king
7
NIv2
task308_jeopardy_answer_generation_all
zs_opt
[ -0.5744826793670654, 0.2321147322654724, 0.10840795934200287, -0.23845356702804565, -0.1486264169216156, 0.27663904428482056, 0.409969300031662, 0.8845387697219849, 0.506985068321228, -0.125986248254776, 0.14663848280906677, 0.6313883066177368, -0.9815859198570251, 0.7458232641220093, -0...
Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew. Teacher: Now, understand the problem? Solve this instance: Así que me pediron que me achegase a ver a Rosalie, a señora maior. Student:
הם ביקשו שאגיע ואפגוש את רוזלי, הגברת המבוגרת.
6
NIv2
task1242_ted_translation_gl_he
zs_opt
[ -0.5612413883209229, 0.6108753085136414, -0.17216616868972778, -0.9710266590118408, -0.17038196325302124, -0.7688888311386108, 0.3630967140197754, 0.037759654223918915, 0.37620288133621216, -0.12649019062519073, -0.10525420308113098, -0.4391801357269287, -0.7042475938796997, -0.45494365692...