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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: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb [Q]: What district does Johnny Vegas ' team play in ? [A]: WP NN VBZ NNP NNP POS NN NN IN . [Q]: How many times has the college baseball team of Bryan Oelkers played in the College World Series ? [A]: WRB JJ NNS VBZ DT NN NN NN IN NNP NNP VBD IN DT NNP NNP NNP . [Q]: Which plant is located in the coastal town acquired by Rajah James Brooke in 1861 ? [A]:
JJ NN VBZ VBN IN DT JJ NN VBN IN NNP NNP NNP IN CD .
5
NIv2
task345_hybridqa_answer_generation
fs_opt
[ 0.25840139389038086, 0.1571502685546875, -0.4058483839035034, 0.42056596279144287, 0.053897880017757416, -0.8900861144065857, 0.909674882888794, 0.5701442956924438, -0.4455893039703369, -0.3173038959503174, -0.5491708517074585, 0.3394605219364166, -0.30818337202072144, 0.22678150236606598,...
You will be given a passage, and your task is to generate a Yes/No question that is answerable based on the given passage. Example: Powdered sugar, also called confectioners' sugar, icing sugar, and icing cake, is a finely ground sugar produced by milling granulated sugar into a powdered state. It usually contains a small amount of anti-caking agent to prevent clumping and improve flow. Although most often produced in a factory, powdered sugar can also be made by processing ordinary granulated sugar in a coffee grinder, or by crushing it by hand in a mortar and pestle. Example solution: is confectionary sugar the same as powdered sugar? Example explanation: The question is a yes/no question, and it is answerable based on the given passage. Problem: Kentucky, being a border state, was among the chief places where the ``Brother against brother'' scenario was prevalent. Kentucky officially declared its neutrality at the beginning of the war, but after a failed attempt by Confederate General Leonidas Polk to take the state of Kentucky for the Confederacy, the legislature petitioned the Union Army for assistance. After early 1862 Kentucky came largely under Union control.
Solution: was kentucky part of the union in the civil war?
5
NIv2
task381_boolq_question_generation
fs_opt
[ 0.28607720136642456, 1.1151541471481323, -0.210562601685524, -0.3128604590892792, 0.19770397245883942, -0.5329049825668335, -0.758390486240387, 1.0291576385498047, -0.33864057064056396, 0.42973679304122925, -0.07508943974971771, -0.22375576198101044, -0.3988865613937378, 0.0439122281968593...
In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: name: The Eagle,... eatType: restaurant, coffee shop,... food: French, Italian,... priceRange: cheap, expensive,... customerRating: 1 of 5 (low), 4 of 5 (high) area: riverside, city center, ... familyFriendly: Yes / No near: Panda Express,... The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect. One example is below. Q: Aromi is an English restaurant in the city centre. A: name[Aromi], eatType[restaurant], food[English], area[city centre] Rationale: The output correctly parses all the parseable attributes in the input, no more, no less. Q: The Eagle is a coffee shop with Indian food at a high price range. It has 1 out of 5 stars. It is children friendly. It is in the city centre near Burger King. A:
name[The Eagle], eatType[coffee shop], food[Indian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Burger King]
9
NIv2
task958_e2e_nlg_text_generation_parse
fs_opt
[ -0.08489415049552917, -0.24510669708251953, -0.070441335439682, 0.37497276067733765, -0.026356108486652374, -0.42200469970703125, 0.7099974751472473, 0.8321315050125122, -0.03820196911692619, 0.07707147300243378, 0.731026291847229, -0.33111923933029175, -0.6183430552482605, -0.191166907548...
Definition: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096'. If an integer is exactly in equally far from two different powers of 2 then you should output the larger power of 2. The output should be a list of integers that is the result of rounding each integer int the input list to the closest power of 2. The output should include a '[' to denote the start of the output list and ']' to denote the end of the output list. Input: [185, 623, 3694, 2808, 21, 65, 2, 243, 1001, 3803, 4191, 11, 68, 2, 193, 416] Output:
[128, 512, 4096, 2048, 16, 64, 2, 256, 1024, 4096, 4096, 8, 64, 2, 256, 512]
2
NIv2
task1444_round_power_of_two
zs_opt
[ -0.4493710696697235, 0.9684018492698669, -0.18345361948013306, -0.2106882631778717, -0.11371435225009918, 0.22849059104919434, 0.5978049039840698, 0.22509273886680603, -0.12325285375118256, 0.24523940682411194, -0.8417370319366455, 0.37223249673843384, -0.32903391122817993, -0.284184873104...
In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in "_". Note that the URLs in the text have been replaced with [Link]. Q: (CNN) In a bizarre case of a state attorney suing a governor, lawyers for prosecutor Aramis Ayala and Florida Gov. Rick Scott argued Wednesday about whether Scott was justified in removing Ayala from cases in which she would not seek the death penalty. While no decision was reached, Florida Supreme Court judges heard both sides in the debate about an elected prosecutor's discretion in trying cases vs. a governor's role in considering how "justice would be best served." "What this court has repeatedly said is the absolute discretion of prosecutors to determine whether and how to prosecute cases," said Roy L. Austin Jr., the attorney representing Ayala.Prosecutor Aramis Ayala said she wouldn't seek the death penalty in alleged cop killer caseShe sued the governor over whether he has authority to reassign her cases Question:_ sued, challenging his decision to reassign more than 20 homicide cases to another prosecutor. A:
Aramis Ayala
4
NIv2
task339_record_answer_generation
zs_opt
[ -0.2765251100063324, -0.06317609548568726, 0.3473966121673584, -0.029973704367876053, -0.33168235421180725, -0.22271013259887695, -0.5075621604919434, 0.8013114929199219, 0.11399780213832855, 0.09391030669212341, -0.2028290033340454, 0.9090375304222107, -0.7321615815162659, 0.9811155200004...
Definition: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise. Input: Sentence 1: Evolution process consists of the mechanisms that produce an observed pattern of change. Sentence 2: Processes and Patterns of Evolution Output:
neutral
2
NIv2
task1554_scitail_classification
zs_opt
[ -0.6579191088676453, -0.14706555008888245, -0.19690528512001038, 0.7141485214233398, -0.30830806493759155, -0.8976401686668396, -0.4416601359844208, 0.7815735340118408, 0.12789565324783325, -0.48693567514419556, -0.9595056772232056, -0.43029725551605225, -0.2839280962944031, -0.32716488838...
You will be given a definition of a task first, then some input of the task. Given a sentence in Dutch, generate a new Dutch 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. Wanneer hout brandt, het verwarmt licht, warmte en ontbranden. Output:
Wanneer hout brandt, produceert het licht, warmte en rook.
1
NIv2
task409_mickey_nl_sentence_perturbation_generation
zs_opt
[ -0.20087885856628418, 0.9243788719177246, -0.015331694856286049, -0.40337610244750977, -0.17730030417442322, -1.0256733894348145, 0.25819748640060425, 0.13774576783180237, 0.2092684805393219, -0.5796154141426086, -0.12237221002578735, 0.4014175236225128, -0.9355683326721191, 0.160742998123...
Q: In this task, you are given a sentence and a profession that is mentioned in the sentence. The gender of the person with the given profession can be identified using the gendered pronouns that refer to them in the text. You are expected to identify the gender. Select from female and male. Sentence: The janitor sends the editor sorted newspapers every day because he can get paid more. Profession: janitor A:
Male
7
NIv2
task340_winomt_classification_gender_pro
zs_opt
[ -1.140592098236084, 0.3776988983154297, 0.00015801715198904276, -0.5948790311813354, 0.4432670772075653, -0.35717111825942993, -0.9292076230049133, 0.36444607377052307, 0.2942608594894409, 0.23559482395648956, -0.49778568744659424, -0.1694483458995819, -1.0322842597961426, -0.0458738766610...
Detailed Instructions: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link]. Q: Verify if the sentiment of the following document towards the entity John Mayer is Positive . John Mayer was hospitalized early Tuesday morning for an emergency appendectomy Dead and Company said on Twitter. Related John Mayer on Katy Perry Learning From the Dead Embracing Pot Guitarist opens up about what he 's learned from Dead & Company and why he 's given up drinking booze and opts for marijuana Dead and Company have two shows left on their fall tour: December 7th in Orlando and December 8th in Sunrise Florida. It's unclear whether Mayer will be healthy enough to play those shows though the band has yet to make a formal announcement regarding the status of either gig. Dead and Company formed in 2015 after the surviving members of the Grateful Dead reunited for their final Fare Thee Well shows. The new group features Mayer alongside original Grateful Dead members Weir Bill Kreutzmann and Mickey Hart as well as Allman Brothers' bassist Oteil Burbridge and Fare Thee Well and RatDog keyboardist Jeff Chimenti. In April Mayer released a new solo album The Search for Everything. A:
yes
9
NIv2
task423_persent_document_sentiment_verification
zs_opt
[ 0.1869424283504486, -0.34294071793556213, -0.6832689642906189, 0.3013085126876831, 0.5911685228347778, -1.0928363800048828, 0.6883691549301147, 0.7405203580856323, -0.6243270635604858, 0.8326224684715271, 0.2117236852645874, -0.06322334706783295, 0.32772719860076904, 0.30128976702690125, ...
Given the task definition, example input & output, solve the new input case. This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words. Example: Giraffes like Acacia leaves and hay, and they can consume 75 pounds of food a day. Output: A giraffe can eat up to 75 pounds of Acacia leaves and hay daily. Input and output sentence have same meaning in different words. New input case for you: hb was declared insolvent and all relevant public authorities registered their claims in the bankruptcy mass . Output:
hb found itself in a default , and all claims of public authorities went into bankruptcy .
1
NIv2
task177_para-nmt_paraphrasing
fs_opt
[ -0.5728652477264404, 0.6174020767211914, 0.5778195261955261, 0.04093319922685623, 0.19800619781017303, -0.048714593052864075, 0.48864126205444336, 0.8430675864219666, -0.06175249069929123, -0.11226019263267517, -0.4249681830406189, -0.16507717967033386, 0.08846432715654373, 0.3550382554531...
Given the task definition, example input & output, solve the new input case. You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two possible outputs, i.e., elementary and high. All inputs have at least one output and it cannot have both categories at a time. Example: he look into your eye that same look just take your breathe away you feel at that moment that he be definitely the one for you but just when you realize that just as fast a he take your breathe away he take your heart and break it into tiny little piece and watch it burn Output: high The poem is long and linguistically well structured, and the prediction is correct. New input case for you: mom you give birth to a good look funny family member you give birth to me in the month of december i give you a gift but if you want to get me one to you may so i hope you have an awsome mother day Output:
high
1
NIv2
task1712_poki_classification
fs_opt
[ 0.2803953289985657, 0.878246545791626, 0.4050329029560089, -0.09193841367959976, -0.044047076255083084, -0.692275881767273, -0.1892271637916565, 1.109398365020752, 0.2914615273475647, -0.6356472969055176, -0.37852412462234497, 0.3255704343318939, -0.2097405642271042, -0.270689457654953, ...
Given an input stream, the objective of this task is to classify whether words in the stream are grammatically correct or not. 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 classification of each word from the labels (reason) = [NO_DIFF (correct), CASE_DIFF (case error), PUNCUATION_DIFF (punctuation error), CASE_AND_PUNCUATION_DIFF (both case and punctuation error), STEM_BASED_DIFF (stem word error), DIGIT_DIFF (digit error), INTRAWORD_PUNC_DIFF (intra-word punctuation error), and UNKNOWN_TYPE_DIFF (an error that does not corrrespond to the previous categories)]. Example Input: ['hi', "I'm", 'John', 'Green', 'and', 'this', 'is', 'the', 'final', 'episode', 'of', 'crash', 'course', 'world', 'history', 'not', 'because', "we've", 'reached', 'the', 'end', 'of', 'history', 'but', 'because', "we've", 'reached', 'the', 'particular', 'middle', 'where', 'I', 'happen', 'to', 'be', 'living', 'today', 'will', 'be', 'considering', 'whether', 'globalization', 'is', 'a', 'good', 'thing', 'and', 'along', 'the', 'way', "we'll", 'try', 'to', 'do', 'something', 'that', 'you', 'may', 'not', 'be', 'used', 'to', 'doing', 'in', 'history', 'classes', 'imagining', 'the', 'future', 'mr.', 'green', 'mr.', 'green', 'in', 'the', 'future', "I'm", 'gonna', 'get', 'to', 'second', 'base', 'with', 'Molly', 'Brown', 'no', 'you', "won't", 'me', 'from', 'the', 'past', 'but', 'the', 'fact', 'that', 'when', 'asked', 'to', 'imagine'] Example Output: ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'CASE_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'UNKNOWN_TYPE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'CASE_AND_PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] Example Input: ['hi', 'this', 'is', 'Sal', 'and', "I'm", 'here', 'with', 'Jeffrey', 'Rosen', "who's", 'the', 'head', 'of', 'the', 'National', 'Constitution', 'Center', 'in', 'Philadelphia', 'and', 'in', 'the', 'first', 'video', 'we', 'did', 'an', 'overview', 'of', 'article', 'of', 'the', 'entire', 'article', '2', 'of', 'the', 'Constitution', 'which', 'covers', 'the', 'powers', 'of', 'the', 'presidency', 'and', 'now', "we're", 'gonna', 'jump', 'in', 'a', 'little', 'bit', 'deeper', 'and', 'you', 'know', 'definitely', 'one', 'of', 'the', 'things', 'that', 'surprises', 'me', 'about', 'article', '2', 'is', 'for', 'a', 'job', 'as', 'important', 'as', 'the', 'president', "it's", "it's", "it's", 'an', 'art', 'awfully', 'short', 'amount', 'of', 'text', 'it', 'is', 'article', '1', 'defining', 'the', 'powers', 'of', 'Congress', 'is', 'much'] Example Output: ['NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'CASE_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF'] Example Input: ['in', 'this', 'video', "we're", 'going', 'to', 'learn', 'how', 'to', 'rationalize', 'the', 'denominator', 'rationalize', 'rationalize', 'the', 'denominator', 'what', 'we', 'mean', 'by', 'that', 'is', "let's", 'say', 'we', 'have', 'a', 'fraction', 'that', 'has', 'a', 'non', 'rational', 'denominator', 'the', 'simplest', 'one', 'I', 'can', 'think', 'of', 'is', 'one', 'over', 'the', 'square', 'root', 'of', 'two', 'so', 'to', 'rationalize', 'this', 'denominator', "we're", 'going', 'to', 'just', 'rear', 'entrance', 'um', 'way', 'that', 'does', 'not', 'have', 'an', 'irrational', 'number', 'in', 'the', 'denominator', 'now', 'the', 'first', 'question', 'you', 'might', 'ask', 'is', 'Sal', 'why', 'do', 'we', 'care', 'why', 'must', 'we', 'rationalize', 'denominators', 'and', 'you', "don't", 'have', 'to', 'rationalize', 'them', 'but', 'I', 'think'] Example Output:
['CASE_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'DIGIT_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'PUNCUATION_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'NO_DIFF', 'PUNCUATION_DIFF', 'CASE_DIFF', 'NO_DIFF', 'NO_DIFF']
3
NIv2
task1416_youtube_caption_corrections_incorrect_grammar_classification
fs_opt
[ 0.025555908679962158, -0.3793574571609497, -0.06090078130364418, 0.03710519149899483, 0.4718274474143982, 0.10077102482318878, 0.5206613540649414, 1.0223398208618164, -0.3817952275276184, 0.4465773105621338, -0.141787588596344, -0.20187123119831085, -0.013166896998882294, 0.026218924671411...
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew. One example: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند Solution is here: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה. Explanation: The Farsi sentence is correctly translated into Hebrew, because the meaning is preserved. Now, solve this: از اینرو با هرکسی که چنین چیز جالبی درست کرده و با درک اینکه روی چی کار می کردند ، علاقمند شدم یک پروژه دسته جمعی ایجاد کنم جایی که مردم چیزی را با هم درست می کردند. Solution:
אז עם כל כך הרבה אנשים שעושים דברים כאלו מדהימים וגם מבינים בדיוק על מה הם עובדים, מאוד סיקרן אותי להתחיל בפרויקט משותף שבו אנשים יעבדו כדי לבנות משהו ביחד.
6
NIv2
task1269_ted_translation_fa_he
fs_opt
[ -1.3475027084350586, 0.574317455291748, -0.12465176731348038, 0.31645771861076355, -0.33046954870224, -0.32513073086738586, 0.3355182409286499, 0.14819267392158508, 0.3247586786746979, -0.1289086937904358, -0.8701967000961304, 0.7466706037521362, -0.42659756541252136, -0.08266998827457428,...
Teacher:In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link]. Teacher: Now, understand the problem? Solve this instance: Post: When you get caught stealing lemonade [Link] Student:
Non-hateful
6
NIv2
task333_hateeval_classification_hate_en
zs_opt
[ -0.5863327980041504, 0.13017316162586212, 0.725531816482544, 0.4903066158294678, 0.21853849291801453, -1.0030481815338135, 0.36192965507507324, 1.2132577896118164, 0.320509135723114, 0.3249349594116211, 0.5009230375289917, -0.006448645610362291, -0.8136020302772522, -0.9701128005981445, ...
Part 1. Definition In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: `book`: Make a new reservation, `cancel`: Cancel an existing reservation, `no_flight`: No flight found for the customer's preference, `no_reservation`: No reservation / No change / No cancellation was made in the conversation, mostly enquiring details Part 2. Example customer: Hi. agent: Hello. How can I help you? customer: I would like to change my existing reservation as my plan to go for a holiday trip got postponed. Can you please help me with this? agent: Sure, may I know your name please? customer: My name is Anthony Phillips. agent: Please wait a moment. customer: Sure. agent: Unfortunately there is no reservation found with your given name. customer: Not a problem, thank you for checking. agent: Thank you for choosing us. Answer: no_reservation Explanation: Here the customer has not asked for any booking, he just wanted to update his already booked flight, so the status would be no_reservation Part 3. Exercise customer: Hello, I am Richard Jackson. agent: Hello, how may I support you now? customer: As my schedule of attending an press conference got postponed. Can you please help me in changing my existing reservation? agent: Sure, we are here to help you. Please wait a minute, I will check and get back to you. customer: Ok. agent: Thank you for waiting, there were no reservation matches with given name. customer: Ok, Thank you for your information. agent: Thank you for availing us. Answer:
no_reservation
7
NIv2
task573_air_dialogue_classification
fs_opt
[ 0.4905480742454529, -0.0648551657795906, -0.2055823802947998, -0.6361299753189087, 0.34964892268180847, -0.18224728107452393, 1.0369460582733154, 0.45499077439308167, -0.07045382261276245, 0.2846468389034271, 0.5066826343536377, -0.2929818332195282, -0.7042279839515686, -0.2448893338441848...
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician. آنها فقیر ترین بچه ها را پذیرش می کنند و بالای 96 درصد از فارغ التحصیلان دبیرستان به کالج های چهار ساله می روند
Collen ós rapaces máis pobres, e máis do 96% dos seus graduados estudan carreiras universitarias.
0
NIv2
task1270_ted_translation_fa_gl
zs_opt
[ -1.6920145750045776, 1.3272764682769775, 0.44735991954803467, -0.83402419090271, -0.7875060439109802, -0.05323442071676254, 0.2905643582344055, 0.32277417182922363, 0.1739676296710968, -0.21527516841888428, -0.28908973932266235, 0.3527880012989044, -0.2858883738517761, 0.44309139251708984,...
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B. Example Input: [7975, 4703, 'c', '8363', '1673', 'U', 'w', 6977], [3235, 'G', 'c', '8363', '1673', 'N', 'p'] Example Output: c, 8363, 1673 Example Input: ['x', 9943, 'K', 'O', 'g', 6603, 1275, 'x', 6903, 'c', 9999, 8825, 2529, 'r', 9149, 'W', 6857, 'A', 'c', '551', 'U', '7103', '453', '4397', 'z', '3567', '8685', '4895', 'k', '6657', '8493', 'Z', 'J', 'y', 'v', 'r', 'J', 'g', '3679', '1287', 'p', 6153, 'A', 'S', 8797, 3097, 8983, 'e', 1335, 'L', 'k'], ['N', 3687, 'j', 325, 'I', 'A', 'T', 2921, 'm', 'Z', 9267, 'U', 3985, 7851, 5999, 'b', 'c', '551', 'U', '7103', '453', '4397', 'z', '3567', '8685', '4895', 'k', '6657', '8493', 'Z', 'J', 'y', 'v', 'r', 'J', 'g', '3679', '1287', 'G', 'K', 8039, 7189, 8641, 'x', 'P', 'v', 7977] Example Output: c, 551, U, 7103, 453, 4397, z, 3567, 8685, 4895, k, 6657, 8493, Z, J, y, v, r, J, g, 3679, 1287 Example Input: [4351, 'Z', 439, 2709, 'r', 7921, '7079', 'T', '5009', 'a', 'r', 'Z', '2345', '1649', '7689', '8395', '731', 'R', 't', 'E', 6035, 'q', 5973, 7121], ['m', 3671, 1589, 'x', 'b', 'n', 8179, 'I', '7079', 'T', '5009', 'a', 'r', 'Z', '2345', '1649', '7689', '8395', '731', 'R', 't', 'V', 'k', 8373, 'O', 'c', 's', 6669] Example Output:
7079, T, 5009, a, r, Z, 2345, 1649, 7689, 8395, 731, R, t
3
NIv2
task605_find_the_longest_common_subsequence_in_two_lists
fs_opt
[ -0.3150026798248291, 0.07592196017503738, -0.47429531812667847, -0.3284175992012024, -0.2812381386756897, -0.13459251821041107, 0.5944007635116577, 0.6282898187637329, -0.6001145243644714, 0.2024339735507965, -0.5323712229728699, 0.25699150562286377, 0.12428086251020432, 0.1970270574092865...
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no". Here are the definitions of logical operators: 1. count: returns the number of rows in the view. 2. only: returns whether there is exactly one row in the view. 3. hop: returns the value under the header column of the row. 4. and: returns the boolean operation result of two arguments. 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column. 6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column. 7. argmax/argmin: returns the row with the max/min value in header column. 8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column. 9. eq/not_eq: returns if the two arguments are equal. 10. round_eq: returns if the two arguments are roughly equal under certain tolerance. 11. greater/less: returns if the first argument is greater/less than the second argument. 12. diff: returns the difference between two arguments. 13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument. 14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument. 15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument. 16. filter_all: returns the view itself for the case of describing the whole table 17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument. 18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument. 19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument. 20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument. 21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument. 22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument. Example Input: Command: most_eq { all_rows ; language ; hindi }, interpretation: for the current streak records of all rows , most of them fuzzily match to w . Example Output: no Example Input: Command: round_eq { avg { all_rows ; time } ; 1:09.00 }, interpretation: the average of the time record of all rows is 1:09.00 . Example Output: yes Example Input: Command: greater { hop { filter_eq { all_rows ; skipper ; andy forbes } ; combined elapsed time } ; hop { filter_eq { all_rows ; skipper ; stuart jackson } ; combined elapsed time } }, interpretation: select the rows whose skipper record fuzzily matches to andy forbes . take the combined elapsed time record of this row . select the rows whose skipper record fuzzily matches to stuart jackson . take the combined elapsed time record of this row . the first record is greater than the second record . Example Output:
yes
3
NIv2
task211_logic2text_classification
fs_opt
[ 0.07542061805725098, -0.18053880333900452, -0.26649320125579834, 0.45026981830596924, 0.5005154013633728, -0.38018158078193665, 0.15035799145698547, 0.4468602240085602, 0.21608304977416992, -0.09925859421491623, -0.241536483168602, 0.05529843643307686, 0.37746188044548035, 0.32201057672500...
You will be given a definition of a task first, then some input of the task. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English. 数多くのプロジェクトが影響を受けました Output:
And it's a number of projects.
1
NIv2
task1222_ted_translation_ja_en
zs_opt
[ 0.0265161395072937, 0.33635103702545166, 0.3936963975429535, -0.21185044944286346, 0.5641731023788452, -0.5076882839202881, 0.002740924246609211, 0.4110415279865265, 0.3391314148902893, -0.5375135540962219, 0.20535343885421753, 0.050658080726861954, -0.6653761267662048, -0.4592840969562530...
Teacher:This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions: (i) create questions which require satisfying a constraint that is not mentioned in the passage (ii) create questions which require information beyond what is provided in the passage in order to answer (iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question (iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable. Teacher: Now, understand the problem? Solve this instance: Passage: CDs are susceptible to damage during handling and from environmental exposure. Pits are much closer to the label side of a disc, enabling defects and contaminants on the clear side to be out of focus during playback. Consequently, CDs are more likely to suffer damage on the label side of the disc. Scratches on the clear side can be repaired by refilling them with similar refractive plastic or by careful polishing. The edges of CDs are sometimes incompletely sealed, allowing gases and liquids to corrode the metal reflective layer and to interfere with the focus of the laser on the pits. The fungus Geotrichum candidum, found in Belize, has been found to consume the polycarbonate plastic and aluminium found in CDs. Student:
Where is polycarbonate plastic created?
6
NIv2
task348_squad2.0_unanswerable_question_generation
zs_opt
[ 0.05073257163167, 0.6478568911552429, -0.6511714458465576, -0.2789710462093353, -0.2471233308315277, -0.624043345451355, 0.10790760815143585, 1.162628412246704, -0.49309659004211426, 0.38391077518463135, -0.07961661368608475, 0.19042126834392548, -0.8310526609420776, -0.12085582315921783, ...
Detailed Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet. See one example below: Problem: you are a dumb spic that can not spell spaniard Solution: dumb spic Explanation: The phrase from the tweet addresses a Spanish speaking person from the Caribbean in an offensive way. Problem: the goat raping acid throwing in bred retarded followers of the pedophile false prophet of satan are up to their peaceful ways once again Solution:
goat raping acid throwing in bred retarded followers of the pedophile false prophet of satan
4
NIv2
task1504_hatexplain_answer_generation
fs_opt
[ -0.6878854036331177, 0.9331932067871094, 0.22327721118927002, 0.47737714648246765, -0.3778116703033447, -1.2400250434875488, -0.25934356451034546, 0.9506609439849854, 0.43921369314193726, 0.48070597648620605, -0.4837592840194702, -0.05272560566663742, -0.5279319286346436, -0.81356406211853...
In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story; note that the selected choices may fit into the story at any point. Indicate your selected choices in order, i.e., as 'ab'/'bc'/'ac' and not as 'ba'/'ca'/'cb'. If options are equally plausible, pick the ones that make more sense. Example input: Title: Marcus Buys Khakis. Marcus needed clothing for a business casual event. He decided to buy a pair of khakis. The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked. c. All of his clothes were either too formal or too casual. Example output: ac Example explanation: Marcus is buying clothes for a business event and not presenting an idea. Q: Title: Kelly and Fred were friends. Last year they had a fight. Now they are friends again. Choices: a. The two then reconvened. b. They stopped talking. c. When she tasted it it was amazing. A:
ab
3
NIv2
task221_rocstories_two_choice_classification
fs_opt
[ -0.07752587646245956, 0.23730741441249847, -0.34035757184028625, 0.46644386649131775, -0.017081035301089287, -0.15166783332824707, 0.48621541261672974, 1.128601312637329, -0.04103493690490723, 0.6967557072639465, -0.5270719528198242, -0.054861411452293396, 0.1503419578075409, -0.2236344963...
In this task, you need to provide the correct option for a given problem from the provided options. Example input: Problem: jo ' s collection contains us , indian and british stamps . if the ratio of us to indian stamps is 6 to 2 and the ratio of indian to british stamps is 5 to 1 , what is the ratio of us to british stamps ? Options: a ) 5 : 1 , b ) 30 : 2 , c ) 15 : 2 , d ) 20 : 2 , e ) 25 : 2 Example output: b Example explanation: "u / i = 6 / 2 i / b = 5 / 1 since i is multiple of both 2 ( as per first ratio ) and 5 ( as per second ratio ) so let ' s assume that i = 10 i . e . multiplying teh first ratio by 5 and second ration by 2 in each numerator and denominator then , u : i : b = 30 : 18 : 2 i . e . u : b = 30 : 2 answer : option b" Q: Problem: what number has a 4 : 1 ratio to the number 100 ? Options: a ) 40 , b ) 200 , c ) 400 , d ) 800 , e ) 4000 A:
c
3
NIv2
task1421_mathqa_other
fs_opt
[ -0.11793752014636993, 0.7632958889007568, -0.39339759945869446, 0.24727508425712585, 0.07647466659545898, -0.6898183822631836, 0.31593701243400574, 0.8490809798240662, 0.18702927231788635, 0.0484791100025177, -0.032961517572402954, 0.6697486639022827, -0.10582222044467926, 0.01222403161227...
TASK DEFINITION: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative. PROBLEM: I haven't written a review in ages, but this place is SO GOOD that I'd be ashamed of myself if I didn't review it.\n\nI am the most hyberbolic person in the whole world in the history of time, but this time, when I say that it was the best pancakes I've ever had, I'm not kidding. Just insanely delicious. Scrambled eggs were also some of the best I've had (and come on, they're scrambled eggs, so you don't expect that much variety), and the breakfast potatoes were very good. I couldn't pinpoint the seasoning, but it's different than you usually get.\n\nCoffee: Yum. I don't think I'd even heard of Arbuckle's, but apparently it's got a great reputation, and deservedly so.\n\nThe owner Joe stopped by our table, and was super nice and genuine. Service was just fine too.\n\nI'm sure Joe's will get a reputation and huge following soon, so believe the hype and check it out. SOLUTION: POSITIVE PROBLEM: Let me preface this by saying that I love Coffee Bean coffee. It is tasty and hits the spot, every time.\n\nThe service at this location absolutely sucks. If we are desperate enough to order extremely overpriced coffee at an airport, you know we need our fix. At least pretend to care, geez.\n\nAnd, they charged me for a cup of water. A CUP OF WATER! The economy is in the tank!\n\nBleh. There is another Coffee Bean at the airport, so go in further for better service. SOLUTION: NEGATIVE PROBLEM: We had a very nice experience here. We were hungry, and stopped here on a whim.\n\nWe both ordered calzones for dinner. The calzones were baked, not fried which is my favorite way to prepare a calzone. They didn't come with marinara sauce on top, but the waitress promptly brought me a dish when I asked for some. I never had ham in a calzone before, and I loved it! Smoky pork married with lots of mozzarella, what's not to like?\n\nWe didn't have appetizers or dessert, and the calzone was definitely big enough to fill us on it's own. All in all, a wonderful dinner decision. SOLUTION:
POSITIVE
8
NIv2
task475_yelp_polarity_classification
fs_opt
[ 0.38791707158088684, 0.10487079620361328, -0.014004765078425407, 0.37891796231269836, 0.2858501374721527, -0.1647184044122696, 0.8655609488487244, 0.6719655990600586, -0.38196247816085815, 0.10857758671045303, 0.27053380012512207, -0.16856800019741058, -0.3700607717037201, 0.16554242372512...
Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions. Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes] Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition] Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step] Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step]. Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute] Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest] Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number] Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2] Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2] Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2] Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2] Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition] Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2]. See one example below: Problem: #1 return secretaries #2 return #1 born in state 'Alabama #3 return departments managed by #2 #4 return distinct creation years of #3 Solution: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'? Explanation: You should follow the steps in order to realize what is the asked question. In this example, the first returned entities are secretaries(based on step #1) who are born in Alabama(based on step #2). In the step #3 departments managed by step #2(which is secretaries born in Alabama. In the final steps the creation years of the departments is returned, so the question will be about the creation years of the departments. Problem: #1 return software platforms #2 return #1 that are different #3 return number of #2 Solution:
Count the number of different software platforms.
4
NIv2
task184_break_generate_question
fs_opt
[ 0.7138310074806213, 0.08920741081237793, -0.7176107168197632, 0.3752409815788269, 0.21394643187522888, -0.4474644660949707, 0.8009597063064575, 0.4187907874584198, -0.43545061349868774, 0.6117382049560547, -0.2419188916683197, 0.49500229954719543, -0.012356765568256378, 0.259257435798645, ...
Teacher:In this task you will be given a list of strings and you need to concatenate them. Teacher: Now, understand the problem? Solve this instance: ['J', 'e', 'the', 'q', 'the', 'i', 'M', 'his', 'p', 'not', 'x', 'x'] Student:
JetheqtheiMhispnotxx
6
NIv2
task079_conala_concat_strings
zs_opt
[ -0.17281486093997955, 0.07527655363082886, 0.11696692556142807, -0.4112336039543152, 0.04446065425872803, -0.08497782051563263, 0.48725593090057373, 0.019012488424777985, -0.16776758432388306, 0.3442923128604889, 0.1345134973526001, -0.16849523782730103, -0.5980817079544067, -1.13019990921...
Detailed Instructions: This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "date", "number". A "span" answer is a continuous phrase taken directly from the passage or question. You can directly copy-paste the text from the passage or the question for span type answers. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. A "number" type answer can include a digit specifying an actual value. For "date" type answers, use DD MM YYYY format e.g. 11 Jan 1992. If full date is not available in the passage you can write partial date such as 1992 or Jan 1992. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. Problem:Passage: Coming off their divisional home win over the Lions, the Vikings flew to Soldier Field for a Week 7 NFC North duel with the Chicago Bears. In the first quarter, the Vikes drew first blood as RB Adrian Peterson got a 1-yard TD run. The Bears would respond with QB Kyle Orton completing an 18-yard TD pass to TE Greg Olsen, along with RB Garrett Wolfe returning a blocked punt 17 yards for a touchdown. Minnesota would respond with QB Gus Frerotte completing a 24-yard TD pass to TE Visanthe Shiancoe. In the second quarter, it would be back and forth. Chicago kicker Robbie Gould would get a 26-yard field goal, while Vikings kicker Ryan Longwell got a 42-yard field goal. Bears CB Zack Bowman would recover a fumble in Minnesota's endzone for a touchdown, while Vikings RB Chester Taylor got a 1-yard TD run. Chicago would close out the half as Gould got a 48-yard field goal. In the third quarter, the Bears got the lead again as WR Rashied Davis recovered a fumble within Minnesota's endzone for a touchdown. The Vikes would reply as Peterson got a 54-yard TD run. Chicago would then strike again as Orton completed a 51-yard TD pass to WR Marty Booker. In the fourth quarter, the Bears struck again as RB Matt Forte got a 1-yard TD run. Minnesota tried to rally as Longwell nailed a 23-yard field goal, along with Frerotte completing a 5-yard TD pass to WR Bernard Berrian. However, Chicago's defense stepped up and prevented the Vikes from tying the game. With the loss, the Vikings went into their bye week at 3-4. The 89 combined points became the highest single-game scoring total in the history of the Vikes/Bears rivalry. Question: How many field goals did Gould kick in the third quarter? Answer type: Number Solution:
1.
8
NIv2
task028_drop_answer_generation
zs_opt
[ 0.041487034410238266, 0.204250305891037, -0.8863258957862854, 0.23934800922870636, 0.031793996691703796, 0.14624212682247162, 0.6339956521987915, 0.3784239888191223, 0.13878598809242249, 0.048686668276786804, -0.30699053406715393, 0.34446221590042114, -0.5811315774917603, 0.086089581251144...
Given the task definition and input, reply with output. Given a sentence in Bulgarian, generate a new Bulgarian 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. Ако искате да сте голи зеленчуци, тогава ще трябва да се насадят семена и да ги напои.
Ако искате да растат зеленчуци, тогава ще трябва да засадят семена и вода за тях.
5
NIv2
task415_mickey_bg_sentence_perturbation_generation
zs_opt
[ -0.8406277894973755, 0.5513430833816528, 0.26450982689857483, -0.13556133210659027, -0.5063037276268005, -0.4173288941383362, 0.8151437044143677, 1.096166968345642, 0.13956555724143982, -0.6342495679855347, -1.222177267074585, 0.6940004825592041, -0.5665805339813232, 0.4091009497642517, ...
Definition: Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal. Input: calf, kitten, fawn, kid Output:
baby animals
2
NIv2
task143_odd-man-out_classification_generate_category
zs_opt
[ 0.2119354009628296, -0.004364187829196453, -0.7497309446334839, 0.02438700571656227, 0.37388288974761963, -0.09710608422756195, -0.05457422137260437, 0.2686285376548767, 0.30279412865638733, 0.09449416399002075, -0.32737380266189575, 0.3294376730918884, -0.5363802313804626, -0.301171779632...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi. -------- Question: A, B, C, D, E, F, G, H, I, J, K. Answer: A, B, C, D, E, F, G, H, I, J, K. Question: Śmierć malutkich Nell i Cordeli, i im podobnym, po prostu już się nie zdarza. Answer: مرگ « لیتل نل » و « کوردلیا » و چیز هایی مثل اون دیگه اتفاق نمی افته. Question: Raczej wszystko z nimi dobrze. Answer:
و همگي آنها به نظر سالم مي ‌ رسند.
7
NIv2
task1263_ted_translation_pl_fa
fs_opt
[ -0.6234346032142639, 0.6156759858131409, 0.15710803866386414, -0.14577949047088623, -0.40861237049102783, -0.5895589590072632, 0.9785314798355103, -0.0580250546336174, -0.3732825219631195, -0.2493046522140503, -1.043323278427124, 0.049895528703927994, -0.09329383820295334, 0.54909890890121...
TASK DEFINITION: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'. PROBLEM: Person1: William , do you like studying English ? Person2:I like studying English , and I can read well , but speaking can be difficult . Person1: It's not that bad . If you talk to your American friends every day , you'll learn quickly . Person2:Can I ask you a question ? Person1: Sure , what do you want to know ? Person2:I have my book from class here . How do you say this word ? Person1: Laptop . Person2:Sorry , I don't understand . What does that mean ? Person1: A laptop is a type of computer that you can carry with you . Do you understand ? Person2:Yes , I think so . Can you say it again ? Person1: Laptop . Person2:Laptop . Did I pronounce that correctly ? Person1: Yes , that's right . That's very good . Person2:Thanks . And this word ? How do you pronounce this ? Person1: That word is pronounced kitchen . Person2:Thanks so much . You're a good teacher . Person1: Thanks . SOLUTION: informal PROBLEM: Person1: Hi , I want to see the Terra Cotta Warriors in Xi'an . Could you please remind me when we are arriving at that stop ? Person2:Oh . You took the wrong bus . You need to take Bus 151 which goes the opposite direction . Person1: Oh , no ! What should I do now ? Person2:Don't worry . You can get off at the next stop and walk across the street and take the Bus 151 to the opposite direction . Person1: Ok . How many stops do I have to go ? Person2:About 15 stops . Person1: That is a long way to go . It is so kind of you to help me . Thank you very much . Person2:My pleasure . SOLUTION: informal PROBLEM: Person1: do you need a hand ? Person2:no , I can handle it . Thanks anyway . Person1: are you sure you don't need any help ? Person2:well , maybe just a little . I can't seem to make it fit . Person1: I swear , the overhead compartments on these planes just keep getting smaller and smaller ! Person2:that's so true . thanks for your help . Are you in the aisle seat in this row ? Person1: yes . What about you ? Person2:I'm in the middle seat . Person1: oh , I guess I'll let you through then . Person2:thanks . sorry for making you get out of your seat again . Person1: that's alright . I notice you have a few newspapers there . Would you mind lending me one ? Person2:no , not at all . Which one would you like--the New York Times or the Guardian ? Person1: I prefer the British paper , but I'll read whatever one you aren't going to read right away . Person2:I was just going to do a little Sudoku while we wait for the plane to take off , so the Guardian is all yours . Person1: thanks a lot . That's really nice of you . Would you like a piece of gum ? Person2:that would be great . thanks . SOLUTION:
informal
8
NIv2
task1533_daily_dialog_formal_classification
fs_opt
[ 0.7648888826370239, 0.007877995260059834, -0.14455711841583252, -0.29616570472717285, 0.3386218845844269, -0.30084747076034546, 0.9322479963302612, 0.1596328318119049, 0.37740153074264526, 0.1691746711730957, 0.09398409724235535, -0.012818085961043835, -0.32055020332336426, 0.3545455932617...
Detailed Instructions: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B. Q: vmLOJBHigZMxEoCsnT, wQokHigZMxEKUuldw A:
HigZMxE
9
NIv2
task600_find_the_longest_common_substring_in_two_strings
zs_opt
[ 0.6407685875892639, 1.4365639686584473, 0.24395427107810974, -0.4975038766860962, -0.1098230704665184, -0.5464070439338684, 0.32208251953125, -0.8667630553245544, -0.17362770438194275, -0.8514021039009094, -0.3273785412311554, -0.7987372875213623, -0.36305350065231323, 0.13056409358978271,...
Given the task definition and input, reply with output. In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals. [225.214, 248.115, 1.203, 230.505, 136.951]
[0.267 0.295 0.001 0.274 0.163]
5
NIv2
task093_conala_normalize_lists
zs_opt
[ -0.7766929864883423, 0.8274633884429932, -0.3201477825641632, -0.8647440075874329, -0.14651437103748322, 0.23259711265563965, 0.34351617097854614, -0.5015482902526855, -0.2809174060821533, 0.02610849216580391, -0.8913413286209106, 0.5523166656494141, -0.3093159794807434, -0.342856615781784...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no. Is AUTHOR wrong in the post ? POST : Pretty much was hanging out with two friends. I was watching the Lakers game. They won at the very last minute and I immediately hopped up and celebrated. Before I could even finish celebrating one friend started going on about how the Lakers suck. It just pissed me off so much I screamed at her to get out my room until she left. She knows I'm a huge fan and she likes them too. She was only saying it to antagonize me. Am I the dick here? Solution: yes Why? It is very rude to shout at someone and ask her to leave the room even if her comments may have antagonized the author. Hence author is at fault here. New input: Is OTHER wrong in the post ? POST : So, my friend, lets call her Annie, was dumped be her boyfriend, but after a conversation, they agreed to be in a open relationship. She started using Tinder, something that i was already doing for some time, but i was not being lucky. Then she told me that she started talking with a programmer (i'm one too), and coincidentally i had matched with him too, but havent started a conversation. Annie was apparently very happy to hear that, she told me that all the time they were talking, she was thinking that he would be a good match for me, then proceed to say that i was perfect for him, that i should talk to him, that he was nice and all. After hours of her insistence (I did not wanted to talk to him after she and he had talked and done well.) I talked to him, now full of expectations to finally talk to someone nice. The next day, Annie tells me that she was going out with him, but just as friends. Me and her had booked to meet later, and when I went to meet her, they were making out. Next day she went to sleep in his home and fucked him. She told me that she does not intend to have a relationship with him, since she is already in one (despite having told him that she was single). I have no intention of going out with someone my friend has dated, first because i dont feel confortable and i dont wanna to make things strange, and second because she has one very contagious STD. I was really annoyed that she had created me expectations and then decided to go out with him, without any kind of warning. I had no intention of talking to him, but she pressed me so much that I decided to take a chance, only to later she go to fuck him. I dont understand why she did It, and i dont feel confortable talking about that with her. I just wanted to feel happy for her, because she is having fun and feeling beautiful again, after the hard relationship that she is in, but i cant because i'm feeling betrayed, and i'm feeling very bad about that. AITA? Solution:
yes
0
NIv2
task502_scruples_anecdotes_whoiswrong_verification
fs_opt
[ 0.2179940938949585, -0.2059193253517151, -0.3865690231323242, 0.4417763650417328, 0.4630460739135742, -0.18732085824012756, 0.4259612262248993, 0.4441738426685333, 0.05505412071943283, -0.007726812269538641, -0.19920557737350464, 0.10249857604503632, -0.7033674716949463, -0.055027961730957...
Definition: In this task, you're given the middle and ending of a three-part story. Your job is to complete the short story by writing a probable beginning of the story. 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 the beginning, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible. Input: Middle: My kids dressed up as pirates and pretended to be on the open sea. Ending: It is amazing how creative they can be when dressing up. Output:
My two kids love to play dress up!
2
NIv2
task072_abductivenli_answer_generation
zs_opt
[ -0.1433354914188385, 0.3331071138381958, -0.43795135617256165, -0.3851904273033142, -0.39090555906295776, -0.03305290266871452, 0.49646034836769104, 0.37444007396698, 0.0772673562169075, -0.06896766275167465, -0.7608461380004883, 0.4036378860473633, -0.47264572978019714, 0.0807082802057266...
Given the task definition and input, reply with output. In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other. i thought you might get bored oh yessss cool
other
5
NIv2
task517_emo_classify_emotion_of_dialogue
zs_opt
[ -0.737519383430481, 0.7774719595909119, 0.6855636239051819, -0.6367998123168945, 0.18693843483924866, -0.6327146887779236, 0.5091561079025269, 0.18212124705314636, 0.6010003089904785, -0.20724233984947205, -0.48091569542884827, -0.5162370800971985, -0.5274015665054321, 0.06313661485910416,...
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact Example input: Somali sentence: Lionel Messi waa ciyaaryahanka ugu weyn kubadda cagta abid Example output: Lionel Messi is the greatest football player of all time Example explanation: The output exactly translates the Somali sentence to it's English equivalent. Even though the phrase 'greatest player ever' is translated to 'greatest player of all time', the meaning remains the same. Q: Somali sentence: Xafiiska nabadgalyada deegaanka oo sheegtey iney guulo kasoo hoyeen dagaalkii Iimey iyo Dhuxun A:
Baaq ka dhan ah ururka ONLF oo ay Jijiga kasoo saartey beesha Makaahiil ee Ogadenya
3
NIv2
task450_opus_paracrawl_so_en_translation
fs_opt
[ -0.24764415621757507, 1.0470486879348755, -0.42810025811195374, -0.38698095083236694, 0.06308190524578094, -1.250190019607544, -0.3146749436855316, 0.11431761085987091, 0.5677714347839355, -0.6642423868179321, -0.058337487280368805, 1.2551594972610474, -1.1315476894378662, -0.3908200860023...
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is. Q: スポーツ管理者でしょうか? A:
ผู้บริหารด้านกีฬา?
4
NIv2
task1127_alt_ja_th_translation
zs_opt
[ -0.019248364493250847, -0.10675710439682007, -0.9825667142868042, -0.7003923654556274, 0.0842849463224411, -0.49585169553756714, 0.22028402984142303, 0.05633523315191269, 0.17502261698246002, -0.48793405294418335, -0.617364227771759, 0.6741645336151123, -0.9673975110054016, 0.5250432491302...
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. Q: This woman found herself in a hilarious situation. A:
joy
4
NIv2
task1338_peixian_equity_evaluation_corpus_sentiment_classifier
zs_opt
[ -0.8365752696990967, 0.30654090642929077, 0.3528859317302704, -0.8653272390365601, -0.1870315968990326, -0.20858319103717804, 0.678315281867981, 0.7706449031829834, 0.665483295917511, -0.3421977162361145, -1.0078344345092773, -0.556322455406189, -0.20893974602222443, -0.14944949746131897, ...
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English. Q: كان عمري 25 عاماً حين تسلمت كنيستي الأولى. A:
I was 25, had my first church.
4
NIv2
task1230_ted_translation_ar_en
zs_opt
[ 0.1961086392402649, 0.2123643159866333, -0.4272827208042145, -0.5060566663742065, -0.6632250547409058, -0.5751010179519653, -0.06519889086484909, 0.5540577173233032, 0.8429117202758789, 0.10329276323318481, 0.372577965259552, -0.26949259638786316, -1.0479930639266968, 0.6867772340774536, ...
You will be given a definition of a task first, then some input of the task. In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise. i stopped feeling as clever as i had felt having no memory of her having done so Output:
joy
1
NIv2
task512_twitter_emotion_classification
zs_opt
[ -1.2541457414627075, -0.4182736277580261, 0.35646647214889526, 0.3878900408744812, -0.20233061909675598, -0.5506004095077515, 0.45714056491851807, 0.23211750388145447, 0.2536225914955139, 0.08622986078262329, -0.2285274863243103, -0.2055772840976715, 0.03333815559744835, -0.046966798603534...
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. Example input: Rope and its Usage Example output: Intambo nomsebenzi ewenzayo. Example explanation: 'Intambo' means rope, 'nomsebenzi ewenzayo' roughly translates to 'the work it does', which is a native way of phrasing it. Q: Ventilation should always be shut down in the vicinity of any fire unless specifically stated otherwise. A:
Indawo yongeno nophumo lomoya kufuneka ivalwe kummandla womlilongaphandle kokuba kucaciswe ngenye indlela .
3
NIv2
task872_opus_xhosanavy_translation_eng_xhosa
fs_opt
[ -0.002732933033257723, 1.1796793937683105, 0.34294456243515015, -0.1200566217303276, -0.8047763109207153, -0.7267932295799255, 0.894199788570404, 0.3567163348197937, -0.4970226287841797, -0.2904652953147888, -0.2168731689453125, -0.36881181597709656, -0.6188042163848877, -0.175938844680786...
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No". Example: Sentence1: While it was being called mandatory , Dupont said authorities were not forcing people from their homes ., Sentence2: It was called mandatory , but Dupont said authorities did not force people to leave . Example solution: Yes Example explanation: These sentences have the meaning. So, the output should be "Yes". Problem: Sentence1: Lucent 's stock shed 6 cents , or 2.7 percent , to close at $ 2.15 after heavy trading on the New York Stock Exchange on Friday ., Sentence2: Lucent 's stock was up a penny at $ 2.22 in heavy trading on the New York Stock Exchange on Friday afternoon .
Solution: No
5
NIv2
task1288_glue_mrpc_paraphrasing
fs_opt
[ -0.5727325677871704, 0.8335465788841248, 0.5205458402633667, -0.11342930048704147, -0.0011764586670324206, -0.8649239540100098, 0.4152299761772156, 0.8573967218399048, -0.006739925593137741, -0.15050864219665527, -0.9015089273452759, -0.03636546432971954, -0.4391353726387024, -0.2142764180...
You will be given a definition of a task first, then some input of the task. Two analogies that relate items to the associated containers is given in the form "A : B. C : ?". "A : B" relates item A to its associated container B. Your task is to replace the question mark (?) with the appropriate container for the given item C, following the "A : B" relation. soda : bottle. game : ? Output:
box
1
NIv2
task1159_bard_analogical_reasoning_containers
zs_opt
[ -0.04864449054002762, 0.6619324088096619, -0.7954397201538086, 0.22296392917633057, -0.4215388894081116, -0.14198866486549377, 0.9252899885177612, 0.4634997546672821, 0.46514540910720825, -0.6346360445022583, 0.310046523809433, -0.08126131445169449, -0.19883909821510315, -0.174681901931762...
Instructions: 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. Input: রাষ্ট্রপতি আব্বাস, আপনি আমার সম্মানে যে বক্তব্য রেখেছেন এবং যেভাবে উষ্ণ অভ্যর্থনায় আমার তথা আমার সঙ্গের প্রতিনিধিগণকে অসাধারণভাবে স্বাগত জানিয়েছেন, তার জন্য আমি আপনাকে ধন্যবাদ জ্ঞাপন করছি| Output:
அதிபர் அப்பாஸ் அவர்களே, என்னை கவுரவிக்கும் வகையில் நீங்கள் குறிப்பிட்ட வாழ்த்துகளுக்கும் நீங்கள் எனக்கும் என்னுடன் வந்திருந்த பிரதிநிதிகளுக்கும் அளித்த மனப்பூர்வமான மற்றும் உற்சாக வரவேற்புக்கு நன்றி தெரிவித்துக் கொள்கிறேன்.
3
NIv2
task981_pib_translation_bengali_tamil
zs_opt
[ 0.2936837673187256, 0.21735048294067383, -0.1061038225889206, 0.42499351501464844, -0.04153002053499222, -1.5921555757522583, 0.6555038094520569, -0.4407651424407959, 0.0386531800031662, 0.5498501062393188, -0.7035213112831116, 0.11399120092391968, -0.2948955297470093, 0.1814507693052292, ...
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 need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words. Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence. Solution: 2 Why? The words 'street', and 'light' end with the letter 't'. So, the answer is 2. New input: Sentence: 'a laptop computer that is on a desk'. How many words end with the letter 'a' in the sentence. Solution:
2
0
NIv2
task163_count_words_ending_with_letter
fs_opt
[ -0.262442946434021, 0.7961138486862183, -0.22379818558692932, -0.8553445339202881, 0.1653793752193451, 0.2708025872707367, 0.31061822175979614, 0.599382221698761, 0.7525464296340942, -0.3765692710876465, -0.03141501918435097, 0.270835816860199, -0.09283307194709778, 0.049532338976860046, ...
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No". Input: Consider Input: Sentence1: Police spokesman Brig. Gen. Edward Aritonang confirmed Saturday that another two had been arrested , one in Jakarta and another in Magelang , Central Java ., Sentence2: Brigadier General Edward Aritonang , a police spokesman , confirmed yesterday that another two had been arrested , one in Jakarta and another in Magelang , Central Java . Output: Yes Input: Consider Input: Sentence1: The 3 { hours of recordings include conversations between police , firefighters and other emergency workers , as well as media inquiries ., Sentence2: Among them are conversations between police , firefighters and other emergency workers , as well as media inquiries . Output: Yes Input: Consider Input: Sentence1: " PeopleSoft has consistently maintained that the proposed combination of PeopleSoft and Oracle faces substantial regulatory delays and a significant likelihood that the transaction would be prohibited . ", Sentence2: PeopleSoft has argued that an Oracle takeover would face substantial regulatory delays and a significant likelihood that the transaction would be prohibited .
Output: Yes
2
NIv2
task1288_glue_mrpc_paraphrasing
fs_opt
[ -0.1710864156484604, 0.3539755344390869, -0.3782995045185089, -0.14235560595989227, -0.18539521098136902, -0.7434372901916504, 0.14150726795196533, 0.3068297207355499, 0.32320982217788696, -0.058075957000255585, -0.7013648152351379, -0.04000603035092354, -0.4669405221939087, -0.14600947499...
You are given a science question (hard-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question. Q: Which weather event usually includes heavy precipitation, strong winds, and surface air temperatures below 0°C? (A) blizzard (B) hurricane (C) thunderstorm (D) tornado A:
A
4
NIv2
task229_arc_answer_generation_hard
zs_opt
[ 0.21599730849266052, 0.8823403120040894, -0.21073657274246216, -0.6309777498245239, -0.29468145966529846, -0.4268421530723572, 0.565122127532959, 0.45207080245018005, -0.04574748873710632, -0.026942439377307892, -0.5697128772735596, -0.13509362936019897, 0.36177858710289, -0.28661128878593...
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, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user. Hi. I want information about Namibia. Nmbia is a country in southern Africa. Do you have information about the media there? What about it? Interesting! What can you tell me about the politics and government? Solution: Nmbia is a country in southern Africa. Why? This is a good example. The output is the response to the question asked by the user. New input: I do not have that information, however, I can tell you in 2003 2/3 of the electorate voted for a new constitution. It expanded the powers of the monarchy which include the power to veto any law and allowing the Prince to dismiss the government or any minister. Very nice! Thanks assistant. Now, let's change topics and chat about the government there. What can you tell me about the government? Yes, there are 4 main schools for higher education, University of Liechtenstein, Principality of Liechtenstein, Liechtenstein and International Academy of Philosophy. You are welcome. What does doubly landlocked mean? Solution:
Yes, there are 4 main schools for higher education, University of Liechtenstein, Principality of Liechtenstein, Liechtenstein and International Academy of Philosophy.
0
NIv2
task576_curiosity_dialogs_answer_generation
fs_opt
[ -0.3743440508842468, 0.37918317317962646, 0.3522714674472809, -0.9868600368499756, -0.427725225687027, 0.08492758870124817, 1.4348772764205933, 0.5792072415351868, -0.4192497730255127, 0.3174147605895996, -0.5910950303077698, 0.10616573691368103, -0.9108917117118835, 0.31609219312667847, ...
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish. -------- Question: Ora, gli esportatori erano le grandi multinazionali. Answer: Ahora, estos suministradores eran nuestras grandes compañías. Question: E abbiamo ancora un sacco di strada da fare con questo. Answer: Y tenemos un largo camino por recorrer con esto. Question: Tentiamo il tutto per tutto. Answer:
Será definitivo.
7
NIv2
task1249_ted_translation_it_es
fs_opt
[ -0.5038158893585205, 0.961590051651001, 0.11546491086483002, 0.03903791680932045, -0.31135398149490356, -0.48014992475509644, 0.020460501313209534, 1.232194185256958, -0.31062012910842896, -0.7785577774047852, -0.5372691750526428, 0.7845025658607483, -0.01907314360141754, 0.285812854766845...
In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', and 'C'. Q: Context: Addison made the incision on Bailey and the operation was going well so far. Question: What will Addison want to do next? Options: (A) better (B) become careless at the end (C) Finish the job A: C **** Q: Context: Bailey only went to the party because Taylor said Bailey would. Question: How will this make Bailey feel? Options: (A) pleased (B) not care about what Bailey will do at the time of the party (C) annoyed A: C **** Q: Context: Skylar was going to be showcasing her pieces at the next gala. Skylar developed another painting. Question: Why did Skylar do this? Options: (A) have a variety of artwork displayed (B) sell the painting to a friends (C) get the new painting framed for the gala A:
A ****
4
NIv2
task580_socialiqa_answer_generation
fs_opt
[ 0.11211136728525162, 0.2013382613658905, -0.3049665689468384, 0.8377807140350342, 0.4247162938117981, -0.07953391969203949, -0.09330783784389496, 0.9430467486381531, 0.37082722783088684, 0.2696315050125122, 0.27346304059028625, 0.4232158064842224, 0.21856266260147095, -0.1970968246459961, ...
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not answer with words other than the two options, and do not answer with option titles(e.g. "option1" or "1" are not acceptable answers.) Ex Input: Passage: We recently had to move to a new town . I was n't thrilled that I was having to move . I loved my house , friends , school and town . I did n't see how any new town could be better , but my Dad had a new job so we had to move . They asked me what I wanted in a new home and I was mad , so I said I did n't want a new house . They told me they understood , but they were sure that I would soon love my new home as much . Finally they found a home and we packed our things to move in . When we drove up , I could n't believe how nice the home was . I still did n't let them know that I was impressed . I was still mad about moving . We started bringing our things in and some kids stopped by to ask if I was moving in . I said yes . We used to love to come over here and swim in the pool when our friend used to live here . I could n't believe it . My new house had a pool . I think I am going to like my new house after all . Question: After running to the back yard where was the pool? Option1: in the backyard Option2: in the front yard Ex Output: in the backyard Ex Input: Passage: I open up my bills and look at when each one is due for payment . The bills that are due within the next two weeks are ones I will pay . I look at each bill and confirm it is the correct amount . Then I take out my check book and write a check for each bill . The front of the check book lets me record my payment with check number , date , whom I am paying , and how much . On each check I fill in the date and the name of the person I 'm paying , then I write out the dollar amount in words and also write it in numbers . I put each bill and check in a return envelope . I make sure I have the correct check with each bill . I seal the envelope and put my return name and address on the front left corner . Then I post them in the mail . Question: When did they look at each charge? Option1: After paying the bill. Option2: Before paying the bill. Ex Output: Before paying the bill. Ex Input: Passage: Regina had thought about renting an RV for their family camping trip , and now looking at the car stuffed full of everything her family could think of , she was regretting not getting it . Seeing his wife looking slightly sad , Aaron walked over and hugged her . They stared at the mess together for a few minutes and laughed together . The kids came running back to the car with the various toys and games that a three and five year old needed . As he went to do that , she buckled her little boys in . Then got out her list from the glove box . She went to the back of the car and started checking off things she could see . The grill ; check , the kids suitcases ; check , her and Aaron 's suitcases ; check , the bikes ; check , propane ; check , extra camping odds and ends ; check , and her wonderful and adoring family ; double check . They happily sped off on their week away at Yellowstone National Park . Question: Who smiled after putting the list away? Option1: the kids Option2: regina Ex Output:
regina
1
NIv2
task165_mcscript_question_answering_commonsense
fs_opt
[ 0.8384592533111572, 0.4176469147205353, -0.744171679019928, 0.36464259028434753, 0.3196357190608978, -0.36093419790267944, 1.0710234642028809, 0.8724141120910645, 0.25208717584609985, -0.10169298201799393, 0.07855784893035889, 0.4528924226760864, -0.4813776910305023, -0.019302643835544586,...
Given a sentence in Japanese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase. Hicksteadの集落に隣接し、Burgess Hillの西、そしてロンドンからブライトンまでのA23の主要道路の隣に位置しています。
Se encuentra junto a la aldea de Hickstead, al oeste de Burgess Hill y junto a la carretera principal A23 desde Londres hasta Brighton.
0
NIv2
task816_pawsx_japanese_spanish_translation
zs_opt
[ -0.7510397434234619, 0.2504223585128784, 0.43948298692703247, -0.40974581241607666, -0.10581472516059875, -1.13475501537323, 0.46190592646598816, -0.35523730516433716, 0.39758434891700745, -0.3756553530693054, -0.4464849829673767, 0.15469180047512054, -0.13224634528160095, 0.53937655687332...
Given the task definition, example input & output, solve the new input case. In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists. Example: [[5, 3], [2, 9, 8], [3, 3], [5, 2, 7, 1]] Output: [5, 9, 3, 7] Input of this example is a list containing four inner lists. The maximum value of the first inner list is 5, the maximum value of the second list is 9, the maximum value of the third list is 3, and the maximum value of the fourth list is 7. So the output should be [5, 9, 3, 7], and this is a good example. New input case for you: [[-120, -183, 97, -39, 79, -132, -174], [-116, -28, -97, -81, -199, -37, -89]] Output:
[97, -28]
1
NIv2
task207_max_element_lists
fs_opt
[ 0.27480828762054443, 0.18313570320606232, -0.784907877445221, 0.5064986944198608, 0.23941317200660706, 0.027404099702835083, 0.5055387020111084, 0.9868725538253784, -0.28777599334716797, 0.048971302807331085, -0.390450119972229, -0.11727438867092133, 0.467856228351593, -0.3663467466831207,...
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words. Ex Input: the sweat on the man 's hand reacted with the steel of the handle and reeked like a steel spoon dipped in vanilla ice cream . Ex Output: the sweat on his hand responded with a steel clip and smelled exactly the same as a stainless-steel spoon , dipped in vanilla ice-cream . Ex Input: not for a second did i see that moving van . Ex Output: i did n't see the one truck for a second . Ex Input: congressman long 's bill ? yea ... the bill . Ex Output:
the bill ?
1
NIv2
task177_para-nmt_paraphrasing
fs_opt
[ -0.27374550700187683, 0.6960036158561707, 0.000009180046617984772, 0.11424383521080017, 0.2661992609500885, -0.5169456601142883, 0.688705325126648, 0.8348771333694458, 0.1393570899963379, 0.24516785144805908, 0.40353938937187195, 0.287922203540802, -0.5872875452041626, -0.3337693512439728,...
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question. -------- Question: While Anna was testing a circuit, she dropped a light bulb. What is the safest thing Anna can do? (A) get a new bulb to finish the test (B) push the broken glass under a table (C) tell her teacher that she broke the bulb (D) ask her partner to help pick up the broken glass Answer: C Question: Because copper is a metal, it is (A) liquid at room temperature (B) nonreactive with other substances (C) a poor conductor of electricity (D) a good conductor of heat Answer: D Question: Phobos is one of two large objects that orbit the planet Mars. Because Phobos orbits Mars, Phobos should be classified as which type of body? (A) asteroid (B) moon (C) comet (D) meteor Answer:
B
7
NIv2
task228_arc_answer_generation_easy
fs_opt
[ 0.7644211053848267, 0.5632222294807434, -0.6337857842445374, -0.4301161766052246, -0.7762357592582703, -1.0593147277832031, 0.7294330596923828, 0.5204225778579712, -0.42879173159599304, -0.2941572070121765, -1.2939612865447998, 0.15783452987670898, 0.7659751176834106, -0.6469317674636841, ...
Detailed Instructions: 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: returns whether there is exactly one row in the view 3. hop: returns the value under the header column of the row 4. and: returns the boolean operation result of two arguments 5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column 6. nth max/nth min: returns the n-th max/n-th min of the values under the header column 7. argmax/argmin: returns the row with the max/min value in header column 8. nth argmax/nth argmin: returns the row with the n-th max/min value in header column 9. eq/not eq: returns if the two arguments are equal 10. round eq: returns if the two arguments are roughly equal under certain tolerance 11. greater/less: returns if argument 1 is greater/less than argument 2 12. diff: returns the difference between two arguments 13. filter eq/not eq: returns the subview whose values under the header column is equal/not equal to argument 3 14. filter greater/less: returns the subview whose values under the header column is greater/less than argument 3 15. filter greater eq /less eq: returns the subview whose values under the header column is greater/less or equal than argument 3 16. filter all: returns the view itself for the case of describing the whole table 17. all eq/not eq: returns whether all the values under the header column are equal/not equal to argument 3 18. all greater/less: returns whether all the values under the header column are greater/less than argument 3 19. all greater eq/less eq: returns whether all the values under the header column are greater/less or equal to argument 3 20. most eq/not eq: returns whether most of the values under the header column are equal/not equal to argument 3 21. most greater/less: returns whether most of the values under the header column are greater/less than argument 3 22. most greater eq/less eq: returns whether most of the values under the header column are greater/less or equal to argument 3 Problem:eq { count { filter_all { all_rows ; place } } ; 11 } = true Solution:
select the rows whose place record is arbitrary . the number of such rows is 11 .
8
NIv2
task110_logic2text_sentence_generation
zs_opt
[ 0.23614072799682617, -0.21301423013210297, -0.31419670581817627, 0.003024911042302847, -0.02562790922820568, -0.374384343624115, 0.359414279460907, 0.6971839666366577, 0.07310502976179123, -0.13801360130310059, -0.40155208110809326, -0.235665425658226, 0.011485426686704159, 0.6871092319488...
instruction: Given a question and a context passage, generate the answer having the word or phrase from the context passage. Here, the answer should be a shortest continous span from the passage. question: Context: Maria is a free-spirited young Austrian woman studying to become a nun at Nonnberg Abbey in Salzburg in 1938. Her love of music and the mountains, her youthful enthusiasm and imagination, and her lack of discipline cause some concern among the nuns. The Mother Abbess, believing Maria would be happier outside the abbey, sends her to the villa of retired naval officer Captain Georg von Trapp to be governess to his seven childrenLiesl, Friedrich, Louisa, Kurt, Brigitta, Marta, and Gretl. The Captain has been raising his children alone using strict military discipline following the death of his first wife. Although the children misbehave at first, Maria responds with kindness and patience, and soon the children come to trust and respect her. While the Captain is away in Vienna, Maria makes play clothes for the children and takes them around Salzburg and the surrounding mountains, and she teaches them how to sing. When the Captain returns to the villa with Baroness Elsa Schraeder, a wealthy socialite, and their mutual friend, Max Detweiler, they are greeted by Maria and the children returning from a boat ride on the lake that concludes when their boat overturns. Displeased by his children's clothes and activities, and Maria's impassioned appeal that he get closer to his children, the Captain orders her to return to the abbey. Just then he hears singing coming from inside the house and is astonished to see his children singing for the Baroness. Filled with emotion, the Captain joins his children, singing for the first time in years. Afterwards, he apologizes to Maria and asks her to stay. Impressed by the children's singing, Max proposes he enter them in the upcoming Salzburg Festival but the suggestion is immediately rejected by the Captain who will not allow his children to sing in public. He does agree, however, to organize a grand party at the villa. The night of the party, while guests in formal attire waltz in the ballroom, Maria and the children look on from the garden terrace. When the Captain notices Maria teaching Kurt the traditional Landler folk dance, he cuts in and partners with Maria in a graceful performance, culminating in a close embrace. Confused about her feelings, Maria blushes and breaks away. Later, the Baroness, who noticed the Captain's attraction to Maria, hides her jealousy while convincing Maria that she must return to the abbey. Back at the abbey, when Mother Abbess learns that Maria has stayed in seclusion to avoid her feelings for the Captain, she encourages her to return to the villa to look for her life. After Maria returns to the villa, she learns about the Captain's engagement to the Baroness and agrees to stay until they find a replacement governess. The Captain's feelings for Maria, however, have not changed, and after breaking off his engagement the Captain and Maria are married. While they are on their honeymoon, Max enters the children in the Salzburg Festival against their father's wishes. When they learn that Austria has been annexed into the Third Reich in the Anschluss, the couple return to their home, where a telegram awaits informing the Captain that he must report to the German Naval Headquarters in Bremerhaven to accept a commission in the German Navy. Strongly opposed to the Nazis and the Anschluss, the Captain tells his family they must leave Austria immediately. That night, as the von Trapp family attempt to leave, they are stopped by German soldiers waiting outside the villa. When questioned by Gauleiter Hans Zeller, the Captain maintains they are headed to the Salzburg Festival to perform. Zeller insists on escorting them to the festival, after which his men will accompany the Captain to Bremerhaven. Later that night at the festival, during their final number, the von Trapp family slip away and seek shelter at the nearby abbey, where Mother Abbess hides them in the cemetery crypt. Nazi soldiers soon arrive and search the abbey, but the family is able to escape using the caretaker's car. When the soldiers attempt to pursue, they discover their cars will not start as two nuns have removed parts of their engines. The next morning, after driving to the border, the von Trapp family make their Question: IN In what city is the Von Trapp household? answer: austria question: Context: Louis Philippe I (6 October 1773 -- 26 August 1850) was King of the French from 1830 to 1848 as the leader of the Orleanist party. Question: What nationality was Louis Philippe I? answer: french question: Context: Coming off their Sunday night road win over the Packers, the Cowboys went home for a Week 4 NFC East showdown with the Washington Redskins. In the first quarter, the 'Boys shot first as QB Tony Romo completed a 21-yard TD pass to TE Jason Witten. In the second quarter, the Redskins took the lead as QB Jason Campbell completed a 3-yard TD pass to WR James Thrash and a 2-yard TD pass to WR Antwaan Randle El, along with kicker Shaun Suisham getting a 20-yard field goal. Dallas closed out the half with kicker Nick Folk getting a 36-yard field goal. In the third quarter, the Cowboys tied the game with Romo completing a 10-yard TD pass to WR Terrell Owens. Washington would respond with Suisham kicking a 33-yard field goal. In the fourth quarter, the Redskins increased their lead with Suisham nailing a 33-yard and a 29-yard field goal. The 'Boys tried to rally as Romo completed an 11-yard TD pass to WR Miles Austin. However, Dallas' onside kick attempt failed, preserving the Redskins' win. Question: Which team had the least points at half? answer:
dallas
9
NIv2
task469_mrqa_answer_generation
fs_opt
[ 1.071181058883667, 0.29169487953186035, -1.0768235921859741, -0.014527784660458565, 0.24022997915744781, 0.11034742742776871, 1.0962598323822021, 1.110878586769104, 0.11077596247196198, 0.23359721899032593, -0.024222195148468018, 0.5094008445739746, -0.884316086769104, -0.05340415239334106...
In this task, you're given a statement, the genre to which that statement belongs, and a label indicating if the statement should be agreed with (entailment), disagreed with (contradiction), or neither (neutral). Your job is to write a sentence that describes the genre that follows the tone with respect to the statement, as indicated by the label. If sentence X agrees with sentence Y, the can be concluded from one another. If sentence X disagrees with sentence Y, they can not be correct at the same time. The sentence must also belong to the genre specified. Statement: 10 Obsession With The stock market's unhealthy fixation on expected earnings led many executives to exaggerate balance sheets through accounting tricks, distorting true stock worth. Label: neutral. Genre: slate.
The executives who distorted the stock's value were never charged with fraud.
0
NIv2
task203_mnli_sentence_generation
zs_opt
[ -1.1231848001480103, 0.5126975774765015, -0.24499356746673584, 0.016511715948581696, 0.037453942000865936, -0.1314852237701416, -0.239388108253479, 0.1626194417476654, 0.5669797658920288, -0.18055325746536255, 0.1346864104270935, -0.2752600908279419, -0.7902804017066956, 0.2202006578445434...
Given a premise and two alternatives in Gujarati, choose the alternative that is either a plausible cause or effect of the situation described by the premise. The premise is the 'નિવેદન' field and the alternatives are the 'વિકલ્પA' and 'વિકલ્પB' fields.The output should either be "વિકલ્પ A" or "વિકલ્પ B" based on your judgment. નિવેદન: બહાર અંધારું થઈ ગયું. વિકલ્પ A: આકાશમાંથી સ્નોવફ્લેક્સ પડવા લાગી. વિકલ્પ B: આકાશમાં ચંદ્ર દેખાય છે.
વિકલ્પ B
0
NIv2
task940_copa_gu_commonsense_reasoning
zs_opt
[ -1.0184717178344727, 0.6991981267929077, 0.034058187156915665, -0.2567387819290161, -0.45218896865844727, -0.44537869095802307, 1.0536810159683228, 0.3421630561351776, 0.5882959365844727, -0.34246039390563965, -0.66799396276474, 0.04021044075489044, 0.37247171998023987, 0.29010361433029175...
In this task, you need to provide the correct option for a given problem on probability from the provided options. Q: Problem: 6 animals of a circus has to be placed inside in 6 cages one in each cage . if 4 of the cage are too small for 6 of the animal then find the number of ways of caging the animal . Options: a ) a . 240 , b ) b . 808250 , c ) c . 502450 , d ) d . 784200 , e ) e . 302400 A: a **** Q: Problem: in how many ways 4 boys and 5 girls can be seated in a row so that they are alternate . Options: a ) 144 , b ) 288 , c ) 12 , d ) 256 , e ) 2880 A: e **** Q: Problem: in a certain animal population , for each of the first 3 months of life , the probability that an animal will die during that month is 1 / 10 . for a group of 400 newborn members of the population , approximately how many would be expected to survive the first 3 months of life ? Options: a ) 240 , b ) 246 , c ) 252 , d ) 292 , e ) 298 A:
d ****
4
NIv2
task1424_mathqa_probability
fs_opt
[ 0.2322251796722412, 0.6069549322128296, -0.5734148025512695, -0.044151514768600464, -0.5047585964202881, -0.08056051284074783, 0.16342908143997192, 0.5060756802558899, -0.5182890892028809, 0.0245378315448761, -0.2973429560661316, 0.035809293389320374, -0.41076937317848206, 0.66761469841003...
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 to determine whether, as a result of the Head, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action. Head: PersonX makes ___ on mturk<sep>Tail: none A:
Yes
7
NIv2
task1197_atomic_classification_oreact
zs_opt
[ 0.25902777910232544, 0.05698163062334061, 0.5136829018592834, -0.3372917175292969, -0.25867873430252075, -1.0197923183441162, 1.4959712028503418, -0.12434466928243637, -0.4485307037830353, -0.4948660433292389, -0.11874379217624664, -0.11726629734039307, -0.961319625377655, 0.58364391326904...
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions. Ex Input: Context: I talked and hung out with Gabe mostly , we get on so well . Then we met up with a bunch more people . Today I went to the beach with Olivia and Brooke after my appt . and jumped off the rocks , got yelled at by this " anorexic rich bitch who s angry cause she s so hungry . sandwich ?. Ex Output: What type of insult is the narrator hurling ? Ex Input: Context: The expensive kind too , that only spins when the rest of the wheel turns . They did n't have any . So , I had to wait around until they hammered the damaged rims back into something that would hold air for a few days . That took hours . Ex Output: Why did I have to wait for hours to fix my tires ? Ex Input: Context: One she could ' ve sworn that was n't there before . In the end , it got used to sit on as she drank her hot chocolate . She honestly was n't a fan of the cabins . Used to by now ?. Ex Output:
Where may she be currently located ?
1
NIv2
task023_cosmosqa_question_generation
fs_opt
[ 1.2229833602905273, 0.4532814621925354, -0.2892059087753296, 0.3504849672317505, -0.2757945656776428, -0.44975125789642334, 0.652254581451416, 0.5135742425918579, -0.2910965085029602, 0.013106130063533783, -0.17549923062324524, -0.028522038832306862, -0.4787106215953827, 0.568429708480835,...
Given the task definition and input, reply with output. In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096'. If an integer is exactly in equally far from two different powers of 2 then you should output the larger power of 2. The output should be a list of integers that is the result of rounding each integer int the input list to the closest power of 2. The output should include a '[' to denote the start of the output list and ']' to denote the end of the output list. [88, 570, 2126, 1833, 14, 68, 4, 7, 78, 3788, 4027, 18, 71, 3, 156]
[64, 512, 2048, 2048, 16, 64, 4, 8, 64, 4096, 4096, 16, 64, 4, 128]
5
NIv2
task1444_round_power_of_two
zs_opt
[ -0.36323899030685425, 0.9650396108627319, -0.15756435692310333, -0.07470515370368958, -0.10667911171913147, -0.2953764498233795, 0.23731055855751038, 0.06096605584025383, -0.2969985008239746, 0.09024270623922348, -0.7499456405639648, 0.3249407410621643, -0.18203461170196533, -0.46851897239...
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: 5, ['e', '1389', 'e', '497', 'N', 't', '123', '8215', 'F', 'E', '499', '5183', '6245', 'W', '7063'] Student:
e, 1389, e, 497, N
6
NIv2
task063_first_i_elements
zs_opt
[ 0.11922146379947662, -0.04612774774432182, 0.03222902864217758, -0.36555856466293335, 0.13775324821472168, -0.4467346668243408, 0.20827531814575195, 0.5709709525108337, -0.37948480248451233, 0.2298124134540558, -0.7120566368103027, -0.3350434899330139, -0.346072256565094, -0.41205638647079...
Teacher:In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer. Teacher: Now, understand the problem? Solve this instance: Context: And to think, folks thought the film would be too dark. I've seen a good mixture of funny, drama and action in that trailer. #FantasticFour— Phoenix Shanklin (@Da_Nerdette) April 19, 2015 Answer: fantasticfour Student:
the trailer is for?
6
NIv2
task240_tweetqa_question_generation
zs_opt
[ -0.5486365556716919, 0.27105820178985596, 0.2646160423755646, -0.5413861870765686, -0.20020179450511932, -0.3320716917514801, 0.8858100175857544, 0.5109347701072693, -0.3500511050224304, 0.06485389173030853, -0.15824423730373383, -0.4860011041164398, -0.8857761025428772, -0.932651162147522...
You are given a statement written in Telugu. 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 . One example is below. Q: Statement: ఇది మండల కేంద్రమైన నాతవరం నుండి 8 కి. మీ. దూరం లోను, సమీప పట్టణమైన <MASK> నుండి 26 కి. మీ. దూరంలోనూ ఉంది. 2011 భారత జనగణన గణాంకాల ప్రకారం ఈ గ్రామం 198 ఇళ్లతో, 651 జనాభాతో 246 హెక్టార్లలో విస్తరించి ఉంది. గ్రామంలో మగవారి సంఖ్య 323, ఆడవారి సంఖ్య 328. షెడ్యూల్డ్ కులాల సంఖ్య 16 కాగా షెడ్యూల్డ్ తెగల సంఖ్య 69. గ్రామం యొక్క జనగణన లొకేషన్ కోడ్ 585743.పిన్ కోడ్: 531115. Option A: నాతవరం Option B: కొనియాల్ Option C: తుని Option D: నర్సీపట్నం A: తుని Rationale: The most suitable word from the given options to replace the <MASK> token is తుని, as the town Tuni matches all the demographic data mentioned in the statement while the other towns don't . Q: Statement: శ్రీ శ్రీ శ్రీ ప్రసన్న బండ్లమాంబ దేవి ఆలయం ఈ గ్రామానికి ప్రత్యేక ఆకర్షణ. శ్రీ బండ్లమాంబ దేవి రాజరాజేశ్వరీ దేవి ప్రతిరూపం. <MASK> నలుమూలల నుంచీ, కర్ణాటక నుంచి కూడా భక్తులు దేవిని దర్శించుకుంటూ ఉంటారు. ప్రధాన ఉత్సవాలు వరలక్ష్మీ వ్రతం, జనవరి ఒకటి, శ్రీ రాజమాతాదేవి జన్మదినోత్సవం, మే నెలలో అమ్మవారికి జరిగే అభిషేకం, ఉగాది, మొదలైనవి. Option A: ఆంధ్రప్రదేశ్ Option B: కర్ణాటక Option C: సంగ్రహాలయంగా Option D: కలకత్తా A:
ఆంధ్రప్రదేశ్
9
NIv2
task954_wiki_cloze_te_multiple_choice_question_answering
fs_opt
[ 0.36562371253967285, 0.8563117980957031, 0.25508981943130493, 0.024884536862373352, -0.25157684087753296, -1.6520228385925293, -0.041312772780656815, 1.32991361618042, -0.2058446705341339, 0.11273930221796036, -0.05004091188311577, 0.42826908826828003, -0.7623329162597656, -0.2010345011949...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. Given a passage, 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 questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage. Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04). Solution: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia? Why? The question is based on the following sentences from the passage (i) Group 2 innate lymphoid cells (ILC2s) {ii) In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (iii) As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. and (iv) They were also associated with increased blood eosinophilia New input: It is suggested that maternal obesity perpetuates offspring obesity to future generations.', 'To determine whether location of neonate fat mass (FM: central vs. peripheral) is related to total neonate FM and whether maternal obesity influences this relationship.', 'Neonate body composition and skin-fold thicknesses were assessed in healthy neonates (n\u2009=\u2009371; 1-3 days old). Linear regression models examined the relationship between total FM and location of FM (central vs. peripheral). Location of FM was calculated by skin-folds: peripheral was the sum of (biceps and triceps)/2 and central was represented by the subscapular skin-fold.', 'A significant interaction was found for location of FM and maternal obesity. Holding all predictors constant, in offspring born to non-obese mothers, a 0.5\u2009mm increase in central FM predicted a 15\u2009g greater total FM, whereas a 0.5\u2009mm increase in peripheral FM predicted a 66\u2009g greater total FM. However, in offspring born to obese mothers, a 0.5\u2009mm increase in central FM predicted a 56\u2009g total FM, whereas a 0.5\u2009mm increase in peripheral FM predicted a 14\u2009g greater total FM. Solution:
Does maternal obesity influence the relationship between location of neonate fat mass and total fat mass?
0
NIv2
task847_pubmedqa_question_generation
fs_opt
[ 0.15989162027835846, 0.2604979872703552, -0.2688305974006653, -0.22977149486541748, 0.48633578419685364, -0.10996334999799728, 0.41776910424232483, 0.7724828124046326, -0.260272741317749, 0.10293242335319519, -0.4298214614391327, -0.022760475054383278, -0.8047740459442139, 0.62651699781417...
instruction: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative question: About Amy 's cuteness , Amy 's career success ( she 's a best-selling writer of self-help books who ca n't help herself ) , and Amy 's neuroses when it comes to men . answer: POS question: While the mystery unravels , the characters respond by hitting on each other . answer: POS question: A coming-of-age movie that Hollywood would n't have the guts to make . answer:
POS
9
NIv2
task363_sst2_polarity_classification
fs_opt
[ -0.6855068206787109, 0.5816835165023804, 0.7354254722595215, -0.4234212636947632, 0.16917234659194946, -0.47800660133361816, 0.19205179810523987, 0.5300873517990112, 0.7813442945480347, 0.30893945693969727, -0.49008333683013916, -0.3614853620529175, 0.017535682767629623, -0.353996276855468...
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". [Q]: Swedish: Av betänkandet framgår det att de i allmänhet ligger rejält efter Europeiska unionens länder, i synnerhet på området BNP per capita. English: The report shows that, in general, they are a long way behind EU countries, especially in terms of GDP per capita. [A]: Yes [Q]: Swedish: Den politiska kampen om anslagsfördelningen och programutformningen står inte i någon proportion till volymen på stöden. English: We should therefore try to set up a better asylum procedure and at the same time take measures to distinguish asylum seekers from illegal immigrants as a matter of relevant urgency. [A]: No [Q]: Swedish: Genom denna utvidgas däremot övergångsbestämmelserna genom att gällande datum skjuts upp, de bestämmelser som inte längre är relevanta stryks och den innebär att förfarandet regleras vid a) ad hoc-transporter av farligt gods liksom b) införandet av mindre stränga nationella bestämmelser, särskilt vad gäller transport av mycket ringa mängder farligt gods på geografiskt sett mycket strängt avgränsade områden. English: It merely prolongs transitional rules by postponing deadlines, deletes provisions which are no longer applicable, and lays down the procedures for a) carrying out the ad hoc transportation of dangerous goods and b) enacting less stringent national regulations, in particular for the transport of very small amounts of dangerous goods within strictly defined local areas. [A]:
Yes
5
NIv2
task314_europarl_sv-en_classification
fs_opt
[ -0.029405148699879646, 0.530616819858551, 0.5435845851898193, -0.03425002470612526, 0.03444106876850128, -0.16596907377243042, 0.490490585565567, 0.6940467357635498, 0.2064259648323059, 0.021084144711494446, -0.05170564725995064, 0.7916135191917419, -0.3354153633117676, 0.21844258904457092...
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time. સફેદ ટાઇલ અને કાળા મોઝેઇક પટ્ટીઓ સાથે ટાઇલ કરેલી ફુવારો વિસ્તાર સાથે એક આકર્ષક બાથરૂમ. Gujarati People standing and some sitting on the sand of a beach with a kite flying and water in the distance. English A man in a restaurant is smiling and holding two mugs with dessert in them while two men next to him are sticking out their tongues and one is holding up a spoon.
English
0
NIv2
task441_eng_guj_parallel_corpus_gu-en_language_identification
fs_opt
[ -0.6026726961135864, 0.7880200743675232, 0.5129096508026123, -0.8971484303474426, 0.24431392550468445, -0.6586152911186218, -0.18898159265518188, 0.12371769547462463, -0.08140122890472412, -0.24042612314224243, 0.28874725103378296, 0.0011129305930808187, -0.5481829643249512, -0.27007693052...
Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish. Input: A historia é a seguinte: sabemos que o universo comezou fai 13.700 millóns de anos, nun estado inmensamente denso e quente, moito máis pequeno que un só átomo. Output:
Oto ona: wiemy że wszechświat narodził się 13.7 milionów lat temu, w niezwykle gorącym, gęstym stanie, znacznie mniejszym niż pojedynczy atom.
3
NIv2
task1244_ted_translation_gl_pl
zs_opt
[ -0.1829509437084198, 1.309478759765625, -0.07132948935031891, 0.02645658329129219, -1.04085111618042, -0.8536558151245117, 0.039127595722675323, -0.4861283004283905, -0.23790785670280457, 0.07469962537288666, -0.13089117407798767, 0.08761539310216904, -0.8940749168395996, 0.107255697250366...
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is. One example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。 Solution is here: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Princes, Paris, France. Explanation: This is a correct and accurate translation from Japanese to Filipino because translated text is just paraphrased of Japanese sentence. Also, it preserves the numbers as it is. Now, solve this: 「我々はこの罠にはまらないよう、努力している」とシリアの国連大使バシャール・ジャーファリは語った。 Solution:
"Kami ay nagpupunyagi sa pagsisikap na hindi kami mahulog sa bitag na ito," sabi ni Bashar Jaafari, ang Ambasador ng Syria sa Nagkakaisang Bansa.
6
NIv2
task1118_alt_ja_fil_translation
fs_opt
[ 0.12359371036291122, 0.5601821541786194, -0.539053201675415, 0.12621955573558807, 0.13381831347942352, -0.37856853008270264, 0.6292495727539062, 0.43875908851623535, -0.12301027774810791, -0.5199642181396484, -1.401439905166626, 0.910542368888855, -0.6075171828269958, 0.6729474663734436, ...
You will be given a definition of a task first, then some input of the task. In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated. Passage: The fair politician was preparing for an interview Output:
Anti-stereotype
1
NIv2
task279_stereoset_classification_stereotype
zs_opt
[ -0.12717217206954956, 0.3591868281364441, -0.01238655298948288, 0.46923911571502686, 0.05401996150612831, 0.10200616717338562, 0.4488247036933899, 1.1581497192382812, 0.4641916751861572, 0.08253157883882523, -0.5005053877830505, -0.04691840708255768, -0.07204519212245941, -0.43566572666168...
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anything else apart from one of the following characters: "A", "B", "C", "D". There is only one correct answer for each question. Example Input: Article: Last year, over 206,000 students from the United States studied abroad. Does that number surprise you? These students already know the benefits of studying abroad. You may be wondering why you should study abroad. Here are some answers for you. * Timing The absolutely best time in your life to study abroad is when you are in college. If you miss this opportunity, it's almost impossible for you to do it later in life. * To gain cross-cultural experience Life overseas makes you see your everyday world in a whole new light. You don't even realize it, but our culture shapes the way we view the world and affects us every minute of the day. Differences in culture are more than just differences in language, food, clothing and art. * To improve your communication skills and your self-confidence People who study abroad tend to be willing to take risks, willing to put themselves in unusual situations, and able to solve problems. * To become more fluent in a language or to learn a new language The world market is becoming smaller, and many companies require a second language. Foreign languages are not only valuable in the job market but also valuable in the real world. * For the adventure Travel to other cities within your host country and around neighboring countries. As you get to know your new classmates, roommates, and host family, you will gain a unique view on the host culture. Discover the differences and, more importantly, the many similarities between your worlds. The friendships you make will last long after the program. * To learn more about yourself Find out who you really are. What are your limits? How do you overcome the difficulties you've never _ before? How independent are you? These questions are hard to answer until you are removed from your usual surroundings. After solving difficult problems on your own overseas, you'll find that almost nothing will confuse you at home. Students who study abroad commonly report that their study abroad experience actually changed their lives. Question: The passage mainly talks about _ . Options: (A) the benefits of studying abroad (B) the time for studying abroad (C) the difficulty you come across when you're abroad (D) some tips on how to get used to a new environment Example Output: A Example Input: Article: After my brother died in an accident, my mother was in deep sadness. I was only a four-year-old girl at the time, but I still understood the sudden shift in my mom's attitude towards safety. Suddenly everything around us was potentially dangerous. Overnight, the world had gone from a playground to a dangerous zone. I grew up with a lot of limits and rules. I couldn't walk home from school by myself, even though everyone I knew already did. I couldn't go to summer camp because what if something happened to me? As I got older, the list of things of fear got longer. My whole life was divided into "things you should avoid", and "things you needed to do in order to have a good, long life." I became a natural worrier. I worry about things like getting cancer, losing my wallet, car accidents, earthquakes, and losing my job -- disasters big and small, real and imagined. The funny part is that you'd never know it by looking at my life. In fact, I've developed a rule for myself: If it scares me, then I have to do it at least once. I've done lots of things that my mom would have worried about: I've ridden a motorcycle; I've traveled --a lot. I've performed stand-up comedy, and I'm planning my second wedding. There's something else I don't usually talk about, but it's a cornerstone in my belief: When I was 14, my mother died suddenly in a car accident. At my mom's funeral I remember making a choice. I could either live out the rest of my life trying to be "safe" or I could be brave enough to live out a fulfilling, exciting and, yes, sometimes dangerous life. I worry that I may have betrayed my mother by writing her in this light, but she has been a driving force in my life and, in the end I think she would have been proud of me. Courage isn't a natural character of human beings. I believe that using courage is like developing a muscle. The more often I do things that scare me or that make me uncomfortable, the more I realize that I can do a lot more than I originally thought I could do. Even though I inherited my mother's cautious nature. I've also come to believe that fear can be a good thing, if we face it. Believing that has made my world a less scary place. Question: In the writer's childhood, the limits and rules were used to _ . Options: (A) improve her behavior (B) develop her independence (C) be in memory of her dead brother (D) protect her from possible danger Example Output: D Example Input: Article: Once upon a time a man became a great archer .He asked the king to _ him as the greatest archer of the country.The king was about to do so when an old servant of the king said,"Wait,sir.I know an old man who lives in the forest.He is a much greater archer.Let this young man go to him and learn from him for at least three years." The man could not believe that there could be a greater archer than him,but he went and found the old man and he was! For three years he learned from him.Then one day, when he thought he had learned everything,the thought arose in him:"If I kill this old man,then 1 will be the greatest archer." The old man had gone to cut wood and he was coming back carrying wood On his shoulder.The young man hid behind a tree,waiting to kill him.He shot an arrow.The old man took a small piece of wood and threw it.It struck the arrow and the arrow turned back and wounded the young man very deeply.The old man came,took Out the arrow and said. "I knew that some day or other you were going to do this.That's why I have not taught you this secret.There is no need to kill me.My Master is still alive, and I'm nothing before him.You must be with him for at least thirty years.And he is very old, so go fast! Find the old man!" Question: The young archer wanted to kill the old man in the Options: (A) he had nothing more to learn from him (B) he could then become the greatest archer (C) the old man refused to teach him everything (D) the king's old servant ordered him to do SO Example Output:
B
3
NIv2
task309_race_answer_generation
fs_opt
[ 0.8283082246780396, 0.27554646134376526, -0.4108807146549225, -0.007790371775627136, 0.7288258075714111, -0.37696439027786255, 0.6571292877197266, 0.9633885025978088, -0.2734553813934326, 0.3994091749191284, -0.5407953262329102, 0.26458972692489624, -0.47574925422668457, -0.035683277994394...
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement. Then, the soldiers run on a trench to search a safe place while firing their firearms. After other soldiers run and shoot while searching abandoned shelters. The audience laughs at her movements while she continues to move and dance around the stage. She puts the bar down and begins exercising in a humerus way while speaking to the audience. The camera does a closeup on each member.
A Mexican band is playing and singing.
0
NIv2
task455_swag_context_generation
fs_opt
[ 0.49334651231765747, 1.3848791122436523, -1.1856657266616821, -0.02329961210489273, -0.7251893281936646, 0.1274048089981079, 0.45412546396255493, 0.1914149522781372, 0.13873152434825897, -0.405573308467865, -0.42451465129852295, -0.40927207469940186, -0.9093358516693115, 0.1708945631980896...
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese. See one example below: Problem: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد. Solution: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです Explanation: The Farsi sentence is correctly translated into Japanese, because the meaning is preserved. Problem: خب ما همه این پولها را خرج می ‌ کنیم ، اما در ازاى آن چه چيزى بدست میاوريم ؟ Solution:
こうして多額のお金を注ぎ込んで結果得られるものは ?
4
NIv2
task1266_ted_translation_fa_ja
fs_opt
[ 0.5496526956558228, 1.2178348302841187, -0.6016554236412048, 0.15444415807724, -0.742006778717041, -0.5699954032897949, 1.160836100578308, 0.3187406659126282, 0.1984298825263977, -0.5756871700286865, -0.8092024326324463, 0.41899359226226807, -1.1733494997024536, 0.23027276992797852, 0.62...
Q: In this task, you need to remove 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: 'picture of a baseball team during a game with man getting ready to bat'. Remove all words of length '2' in the given sentence. A:
picture a baseball team during a game with man getting ready bat
7
NIv2
task377_remove_words_of_given_length
zs_opt
[ -0.09775543212890625, -0.0519668385386467, -0.348117858171463, -0.3422647714614868, 0.3092714548110962, -0.8208765983581543, -0.16059516370296478, 0.40839165449142456, 0.0016661195550113916, -0.3719000220298767, -1.077660322189331, -0.1265936642885208, -0.24885088205337524, -0.225624293088...
The provided file includes inquiries about restaurants, and we ask you to translate those to the Finnish language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations. Q: locate " los cabos " for me . A:
etsi minulle " los cabos ".
4
NIv2
task251_spl_translation_en_fi
zs_opt
[ -0.21678203344345093, 0.6867426633834839, -0.20712119340896606, 0.10335209965705872, -0.2703777551651001, -0.10244689881801605, 0.7314348816871643, 0.6751511096954346, -0.7285252213478088, -0.5560775399208069, -0.04113348200917244, 0.7917689085006714, -0.4424877464771271, 0.864479422569274...
TASK DEFINITION: You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish. PROBLEM: E così si è offerto volontario per questo studio che abbiamo portato in tutto il mondo, anche negli USA. SOLUTION: Zgłosił się więc na ochotnika do kluczowego badania, które prowadziliśmy na całym świecie, także w USA. PROBLEM: RW: Sarà vicino all'attuale campus? SOLUTION: RW: To będzie stało koło kampusu? PROBLEM: Queste non sono solo piante di grano, come potreste aver visto conservate alle Svalbard, in Norvegia. Meraviglioso lavoro lì. SOLUTION:
To nie tylko rośliny uprawne, tak jak być może znają to Państwo ze zbiorów w Svalbard w Norwegii. To fantastyczny projekt.
8
NIv2
task1253_ted_translation_it_pl
fs_opt
[ -0.38262102007865906, 0.7756667137145996, 0.12363927066326141, -0.43420305848121643, -0.7965022325515747, -0.5086264610290527, 0.8049973249435425, 0.31319183111190796, 0.13283416628837585, -0.22443008422851562, -0.45491519570350647, 0.7225131988525391, -0.42889803647994995, 0.6809426546096...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician. Example input: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה. Example output: Pregunteille: "" É coma un soño? "" E dixo: "" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento. Example explanation: The Hebrew sentence is correctly translated into Galician, because the meaning is preserved. Q: (צחוק) אתם יודעים, שתי הקריקטורות האחרונות האלה, עשיתי אותם בהופעה חיה במהלך ועידה בהאנוי. A:
(Risas) Estas dúas últimas viñetas, fíxenas en tempo real nunha conferencia en Hanoi.
3
NIv2
task1110_ted_translation_he_gl
fs_opt
[ -0.4641105532646179, 0.718024730682373, 0.3640819787979126, -0.754642903804779, -0.4887695908546448, -0.2770102024078369, 0.345184862613678, 0.07639443874359131, -0.6951838731765747, -0.5244677066802979, 0.0584740936756134, 0.1544714719057083, -0.632544219493866, -0.24714994430541992, -0...
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "acceptable", otherwise "unacceptable". Example Input: Why don't we make some French fries? Example Output: acceptable Example Input: While Truman doesn't want to visit every city, he does Barcelona. Example Output: acceptable Example Input: You are too flip with people who are jealous of you. Example Output:
acceptable
3
NIv2
task616_cola_classification
fs_opt
[ -0.7278058528900146, 0.808355450630188, 0.7946122288703918, -0.42865392565727234, 0.23122866451740265, -0.6326152682304382, 0.6647917628288269, 0.10171014070510864, 0.41586652398109436, 0.4691717028617859, -0.8681200742721558, 0.12950557470321655, -0.0838436558842659, -0.20060506463050842,...
Instructions: Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase. Input: Aquí vemos a los operadores pseudo-diferenciales como una generalización de los operadores diferenciales. Output:
의사 미분 연산자는 여기에서 미분 연산자의 일반화로 간주됩니다.
3
NIv2
task796_pawsx_spanish_korean_translation
zs_opt
[ -0.3717775344848633, 0.7370107769966125, -0.7577359080314636, -0.833040714263916, -0.05318538099527359, -0.0706741064786911, 0.9608198404312134, 0.5738337635993958, 0.6758919954299927, 0.027170054614543915, -0.7938330769538879, -0.11811302602291107, 0.1861080378293991, 0.16977083683013916,...
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity. Input: Consider Input: Context: No air - conditioned was needed and the air was refreshing compared to what you get living in the city Sounds of the bigs waves ( being the Andaman Sea side of the beach ) kept me hearing a constant bomb - like sound throughout the night as the waves continued to hit the shores of our hotel . Of course I slept to that tune la . As the rain continued into the morning and we headed to the Kids Club . Question: What may be the reason for not needing an air conditioner ? Correct Answer: It was n't too hot . Output: There was too much humidity for it to work . Input: Consider Input: Context: My heart was hard , very hard to the information . But I had questions . I had doubts . I had issues . So back to that day , when things started to maybe possibly kind of make sense to me in a logical and deeply spiritual way . Question: What may be the reason for having a hard heart ? Correct Answer: They have been hurt in the past . Output: They have been on their own . Input: Consider Input: Context: No , wait -- he just accidentally saved over all that word - for - word so now he HAS to write the outline . While he 's working , I checked my gmail - chat and see that Kaiya 's online . It 's a little late for someone who needs her rest for the big day , so I wish her luck and ask how everything is going . Apparently the dress the mother of her husband - to - be hand made for her does n't fit quite right . Question: What may be the reason Kaiya needs rest ? Correct Answer: They are getting married .
Output: They have a test .
2
NIv2
task025_cosmosqa_incorrect_answer_generation
fs_opt
[ 0.8494970798492432, 0.8677300214767456, -0.552007257938385, 0.29586151242256165, 0.18323442339897156, -1.2662051916122437, 0.9717135429382324, 0.690129280090332, -0.490622341632843, 0.046809371560811996, -0.21478238701820374, -0.16662989556789398, -1.3433113098144531, 0.12512344121932983, ...
Detailed Instructions: In this task, a passage will be given and the goal is to generate a question about temporal relations based on that passage. A temporal relation describes the relation between two things with respect to time e.g., something happens/starts/terminates/... immediately/shortly/usually/... before/after/during/... something else. Your question should include an event, or ask about an event, and should not be a yes/no question. See one example below: Problem: Passage: I submitted the hit. The hit was approved, and then I was paid. Solution: What happened after I submitted the hit? Explanation: This is a valid temporal question based on the given paragraph. Events approved and paid have a temporal relation "after" with the event submitted. Problem: Passage: But Turkish researcher and religion expert Aytunc Altindal, scoffed at reports that the pope had "prayed" at the Blue Mosque. "Like everything in the pope's trip, it was very well orchestrated," he said. Solution:
What event has already finished?
4
NIv2
task389_torque_generate_temporal_question
fs_opt
[ -0.1768261194229126, 0.6928730010986328, -0.20558543503284454, 0.42246678471565247, -0.12736967206001282, 0.09024300426244736, 0.42140164971351624, 0.7256397604942322, 0.5687878131866455, 0.7677913904190063, 0.11483436077833176, 0.6789597868919373, -0.5864385366439819, 0.29838892817497253,...
Teacher:In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the sentence order of the story; note that the selected choices may fit into the story at any point. Your answer must be in the form of '2a, 5b', where '2a' means the candidate sentence 'a' will be inserted as the 2nd sentence in the story. The answer must also be in the order of the selected choices, i.e., '2a, 5b' is allowed, and '5b, 2a' is not allowed. If options are equally plausible, pick the ones that make more sense. Teacher: Now, understand the problem? Solve this instance: Title: I want to move out of my parents house. I didn't have any credit score. Looks like I will be living with my parents for a little while. Choices: a. I went to the bank to apply for a house loan. b. I got dirty looks the rest of the time they were there. c. The bank denied my application. Student:
1a, 3c
6
NIv2
task222_rocstories_two_chioce_slotting_classification
zs_opt
[ -0.1409246027469635, 0.1272856891155243, -0.05373319238424301, 0.10849052667617798, 0.20438694953918457, 0.010196482762694359, 0.1546487659215927, 1.1288909912109375, -0.3633590638637543, 0.11669222265481949, -0.13982945680618286, -0.08991557359695435, -0.2917135953903198, -0.7485817670822...
This task is about translating a given English language sentence to Spanish. [EX Q]: That literally make reference to this land [EX A]: Lo que literalmente hacer referencia a esta tierra [EX Q]: language is one with that enables the construction of elegant programs that focus on the functions. [EX A]: En particulares funciones en un functual [EX Q]: Just exactly what Al is trying to do, Rick is doing. [EX A]:
Rick está haciendo lo mismo que Al Gore está tratando de hacer.
6
NIv2
task1691_qed_amara_translation
fs_opt
[ -0.8327194452285767, 1.2108780145645142, 0.20386415719985962, -0.6286062002182007, -0.5035060048103333, -1.2187036275863647, 1.1224000453948975, 0.8969523906707764, -0.07755767554044724, -0.7626937627792358, -0.43476229906082153, 0.11294950544834137, -0.26290374994277954, 0.751477241516113...
You will be given a definition of a task first, then some input of the task. You are given a sentence in English. Your job is to translate the English sentence into Italian. This man was extremely successful: he was confident and powerful. Output:
Quest'uomo aveva un enorme successo: aveva fiducia in sé ed era potente.
1
NIv2
task1091_ted_translation_en_it
zs_opt
[ -0.16544954478740692, 1.2635798454284668, 0.44975546002388, -0.4025968611240387, 0.4537736177444458, -0.35131606459617615, 0.741874098777771, 0.8388599157333374, 0.6381358504295349, -0.06347967684268951, -0.7685736417770386, 0.6747393608093262, -0.8221548795700073, 0.21993184089660645, 0...
Detailed Instructions: In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character. Q: هر چند شکست ایران از عثمانیان در جنگ چالدران دلایل فراوانی داشت اما به کار بردن سلاح گرم و بویژه توپ که نقش تعیین کننده ای داشت، بزرگترین عامل مشخصه در پیروزی عثمانی ها و شکست صفویان بود. بزرگترین دلیل شکست ایرانیان عدم استفاده از اسلحه گرم در جنگ چالدران بود. A:
E
9
NIv2
task534_farstail_entailment
zs_opt
[ -0.09153203666210175, 0.1725580096244812, -0.6606267094612122, 0.28269365429878235, -0.017877165228128433, -0.7261340022087097, 0.7847788333892822, 0.11469364166259766, 0.36076122522354126, -0.21466678380966187, -0.04419806972146034, -0.20138826966285706, 0.025954492390155792, -0.273835301...
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. Input: Consider Input: ['2145', 'I', '609', '5327', 'Q', '2529', 'm', '3463', 'y'] Output: 2145, 609, 5327, 2529, 3463 Input: Consider Input: ['X', '1625', '7501', 'F', '4755', 'w', '5423', 'm', 'W', '7241', '329', 'Y', '693', 'b', 's', '623', 'w', '8273', '1899', 'G', '131', '2221', '3497', 'L', 'n'] Output: 1625, 7501, 4755, 5423, 7241, 329, 693, 623, 8273, 1899, 131, 2221, 3497 Input: Consider Input: ['4015', 'S', 'a', '7569', 'A', '4247', '3335', 'E', 'X', '2803', '3027', '4931', '4101', 'X', '8709', 's', 'B']
Output: 4015, 7569, 4247, 3335, 2803, 3027, 4931, 4101, 8709
2
NIv2
task497_extract_all_numbers_from_list_in_order
fs_opt
[ 0.30063384771347046, -0.035350702702999115, -0.4684126377105713, -0.5517419576644897, -0.372828871011734, -0.5671916007995605, 0.6076668500900269, 0.6164706349372864, -0.6914409399032593, 0.3294871151447296, -0.7375388145446777, 0.06126368045806885, -0.21688231825828552, 0.0556345470249652...
Teacher:In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list. Teacher: Now, understand the problem? Solve this instance: [98, 171] Student:
[49, 514]
6
NIv2
task206_collatz_conjecture
zs_opt
[ -0.44342154264450073, 0.394867479801178, -0.123247891664505, -1.0194685459136963, -0.30076682567596436, -0.0031469902023673058, 1.0092610120773315, 0.5978348851203918, -0.08427788317203522, 0.5506992340087891, -0.2930757999420166, -0.23715327680110931, -0.516078531742096, -0.51314687728881...
You will be given a definition of a task first, then some input of the task. You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long. The answers need to be context specific and can not be general knowledge or a random guess. CONTEXT: El candidato de CiU a la presidencia del Gobierno, Xavier Trias, se ha ganado fama de político dialogante y nacionalista moderado en los 12 años en que ha sido conseller de Sanidad y de Presidencia de la Generalitat, pero su rendimiento electoral es una incógnita ya que es la primera vez que encabeza una candidatura y, además, lo hace "obligado" por Jordi Pujol. Xavier Trias, pediatra de profesión, tiene 53 años y ha dedicado buena parte de su vida, casi 17 años, a la Administración autonómica catalana, donde ingresó en 1983 como director general de Asistencia Sanitaria y llegó a ser el máximo responsable de la sanidad catalana durante ocho años, antes de que Pujol lo llamara para ser su número dos en el ejecutivo durante cuatro años. El presidente catalán encargó a Trias cuestiones como las relaciones con la Casa Real y el diálogo con los grupos de la oposición en el Parlament, en una legislatura marcada por la pérdida de la mayoría absoluta de CiU y la necesidad de los nacionalistas de consensuar las iniciativas parlamentarias con el máximo número de fuerzas posible para no depender totalmente del PP. El talante negociador de Trias ha sido reconocido, cuando ha dejado el cargo, por todos los grupos de la oposición, que han lamentado su marcha del departamento de Presidencia. Pujol apostó por Trias como cabeza de lista, pese a que éste se resistió hasta el último momento porque, según afirma, nunca ha tenido deseos de saltar a la primera fila de la vida política. La apuesta de Pujol obedece a su voluntad de situar como prioridad política para la próxima legislatura la negociación de un pacto autonómico que incremente el nivel del autogobierno y de un pacto fiscal que mejore sustancialmente su financiación. Estos dos objetivos son los pilares del programa electoral que defiende Trias, quien, sin embargo, no quiere dar un perfil nacionalista radical a su discurso y siempre justifica estas reivindicaciones por la necesidad del gobierno de la Generalitat de responder a las demandas de los diversos sectores sociales. Xavier Trias insiste en su discurso en que Cataluña necesita más recursos porque el trato fiscal que recibe en la actualidad es "injusto" y puede acabar dañando su competitividad, y además impide al gobierno de la Generalitat ofrecer los mismos servicios que otras autonomías en materia de asistencia sanitaria, atención a la tercera edad o construcción de guarderías. QUESTION: ¿A qué se presenta Xavier Trias? Output:
a la presidencia del Gobierno
1
NIv2
task1334_sqac_answer_generation
zs_opt
[ 0.06065969169139862, 0.5243126153945923, -0.38539740443229675, -0.29036152362823486, 0.0033669776748865843, -0.5828863978385925, 0.942805290222168, 0.5182024240493774, -0.49943023920059204, 0.6417770981788635, 0.12990012764930725, 0.657152533531189, 0.10422448068857193, 0.14185062050819397...
You are given a mathematical question described with a circumscribed mathematical vocabulary. Questions in this task usually contain some variables (e.g. X, Y), equations (e.g. X+Y=3) and some relationships (X is greater than Y). Often you need to find the value of the variable using equations and relationships. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. LaTeX mathematical format (the standard way to express mathematical expressions in the typesetting software known as LaTeX) is used to express equations. Each question is solvable with high school math knowledge. Give only one answer for each question. One example: If k is an integer and \(k = \frac { m } { 3 } \) which of the following must be true? I. m is an even number. II. m is a multiple of 3. III. m is an odd number. (A)I only (B)II only (C)III only (D)I and II only (E)I, II, and III Solution is here: B Explanation: m isn’t necessarily an even or odd number so A,D,E,C are incorrect. for frac { m } { 3 } to be an integer m must be a multiple of 3. Now, solve this: The expression \(\frac { 12a^2b { \frac { 1 } { 2 } } c^6 } { 4a^ { -2 } b^2c^2 } \) is equivalent to which of the following? (A)\(\frac { 3a^4c^4 } { b } \) (B)\(\frac { 3c^3 } { ab } \) (C)\(\frac { 3bc^4 } { a^4 } \) (D)\(\frac { a^4c^3 } { 3b } \) (E)\(3c^4\) Solution:
A
6
NIv2
task104_semeval_2019_task10_closed_vocabulary_mathematical_answer_generation
fs_opt
[ 0.2600138485431671, 0.005406597629189491, -0.6841219663619995, -0.3647083044052124, -0.1929631233215332, -0.28016379475593567, 1.112288475036621, 1.2053163051605225, 0.218664288520813, -0.1663033813238144, -0.8787636756896973, 0.44992920756340027, -0.06713993847370148, -0.08672648668289185...
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay special attention to the marked number, think about what (unwritten) information the marked number holds inside, choose the most adequate word(s) from the optional answers. If none of them seems right to you, there's also an option for other. If your answer is "REFERENCE", also write the reference entity, otherwise write the implicit option name. Options to choose from are: REFERENCE: Some object which is being mentioned in the text before or after the target number. The reference answer has a higher priority than any other. If both Reference and another answer are possible, prioritize the Reference. YEAR: Describing a calendric year AGE: Describing someone's age CURRENCY: Reference to some monetary value e.g dollar, euro etc. PEOPLE: Describing a single/plural persons TIME: Describing a time of the day. Usually you can add the word o'clock after those numbers. OTHER: Some other option, which isn't listed here. Q: Quentin Lance: So you 're back to dropping bodies ? Oliver Queen: It 's just this _ one _ . A: REFERENCE bodies **** Q: Ronnie Burns: It seems that everything happens in this house . Last time I brought a girl home , Mr. Von Zell showed up with an Indian in full war paint . And another time , mother locked my professor in the closet ! George Burns: Ronnie , if those things did n't happen in this house ... we would n't have _ one _ . A: REFERENCE house **** Q: Rawson: She 's as plausible as you are , you know . Oh , she can talk too ! She made me feel important . She made me feel strong . She pretended to be interested in the same things ... until she got me to commit myself . Dian: Do n't get hysterical , Dennis John Drake: You 'll have 15 , maybe 20 years - alone . And she ? She 'll leave you to it . Rawson: You 're so clever , are n't you ? Both of you you 're so damned clever . But , you 're quite so clever ... Dian: BE QUIET ! This is what he wants ! Rawson: What ' he ' wants ? Huh , , , you should n't have done that , Dian . You really should n't have done that . You see this , ' Mr. Anonymous , ' this ... mirror , mirror on the wall ? That 's what you want ! Dian: Dennis ! Rawson: You press one corner , and it comes away from the wall . It comes ... it comes away from the wall ! IT COMES AWAY FROM THE WALL ! I 've cut my finger ... Dian: Yes , it 's a radio transmitter . It 's 150 watt output , high frequency band ... and you wo n't find a makers ' name . John Drake: I had to make sure . Dian: It 's quite simple , is n't it ? Merely doing your job . My turn to lose . Let 's get it over with as quickly as possible Fortune is like the English climate ; changeable . Lucas: Had any luck with Jane Austen ? John Drake: As you can see ... none at all . Dian: You said you 'd be back an hour ago . Lucas: I know , but , I got delayed . Dian: Never mind the explanations . Check him . It 's all over . We 'll have to leave the country . Lucas: What should we do about him ? Dian: Oh , yeah ... what are we gon na do about you ? We can either kill you , or take you with us . John Drake: My passport 's in order . Lucas: We 'd better get rid of him . Dian: No . He comes . He might be useful , in case he 's got someone watching the house . Get through to the airfield . Have the tanks ready for takeoff at _ 8 _ . Internal flight ; Glasgow ... Rawson: Dian , l - let me stay ? We could settle up , and I could take my chance . Dian , please , please listen to me ! Dian: No ! I wo n't listen to you ! You 'll answer for your behaviour later . A:
TIME ****
4
NIv2
task304_numeric_fused_head_resolution
fs_opt
[ 0.41541141271591187, 0.5606290102005005, -0.381023645401001, 0.10297831147909164, 0.5377601385116577, -0.12037502974271774, 1.3587069511413574, 0.9203619956970215, -0.45347535610198975, 0.32264572381973267, -0.09222055971622467, 0.6511547565460205, -0.6137842535972595, 0.03601045161485672,...
A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence. Q: सुशासन, विकास आणि लोकांची प्रगती, लोकांची समृद्धी, समाजात शांतता हे सर्व मुद्दे त्यांच्या केंद्रस्थानी आहेत. A:
સુશાસન, લોકોનો વિકાસ અને પ્રગતિ, લોકોની સમૃદ્ધિ, સમાજમાં શાંતિ આ જ બધા વિષયો તેમના કેન્દ્રમાં છે.
4
NIv2
task984_pib_translation_marathi_gujarati
zs_opt
[ 0.4475352168083191, 0.4951516389846802, 0.13953259587287903, -0.890063464641571, 0.10397884249687195, -1.3034974336624146, 0.14941304922103882, -0.35819557309150696, -0.49174025654792786, -0.8917474746704102, -0.3071969151496887, -0.04955097660422325, -0.2467183768749237, 0.014123861677944...
Part 1. Definition In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story. Part 2. Example Sentence 1: The cashier was counting the dollar bills at her desk. Sentence 3: Everyone panicked and started to scream. Sentence 4: The men threatened the people to remain quiet. Sentence 5: The cashier handed them the cash so they would go away. Given Sentence 2: Two men rushed into the store and held their guns up. Answer: Yes Explanation: People panic when somebody holds their guns up. Sentence 2 correctly connects Sentence 1 with rest of the story. So, the answer is 'Yes'. Part 3. Exercise Sentence 1: Anita didn't know her real father, but her step father was around. Sentence 3: It was after lunch and Anita watched TV instead of washing dishes Sentence 4: Her stepfather accused her of being lazy Sentence 5: Then he took her outside and beat her with the water-hose Given Sentence 2: She asked me to meet her on her lunch break. Answer:
No
7
NIv2
task066_timetravel_binary_consistency_classification
fs_opt
[ 0.021754298359155655, 0.314205139875412, -0.2953644394874573, 0.46925967931747437, 0.12947005033493042, -0.2886733412742615, 0.23642432689666748, 1.0240947008132935, 0.31343042850494385, -0.20171187818050385, -0.1478918492794037, -0.2290392369031906, -0.765535831451416, -0.4178957641124725...
In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a question that can be answered using Wikipedia articles. To decompose the question, think of a decomposition strategy you could apply to answer the question through a search against Wikipedia. The decomposition strategy might not be obvious for some questions. For this reason, you are provided with additional information. You are not required to write decompositions that exactly match the provided facts, they are only meant as guidance. If the facts are too noisy, think about how you would have used Wikipedia to answer this question to create the decomposition. "not_definitive_answer" is true if there is no clear answer i.e. the question is ambiguous or a subjective opinion."incorrect_answer" is true if the answer to the question is not correct. If the answer is incorrect, write a decomposition that evaluates the correct answer. Each question should be easy to answer based on simple facts from Wikipedia pages, or a simple check using the answers to preceding questions. To ensure this, we also ask you to enter a potential Wikipedia article that would contain the answer to each question. If you can not think of a Wikipedia page that can answer your question, please think of a different strategy. You do not need to enter a Wikipedia page for steps that don't add new information and only contain simple checks. The answer to the final question is the same as the answer to the original question. Every question's answer has an impact on the final answer and there should be no redundant steps in the decomposition. Ex Input: Question: Can a minor replicate the double-slit experiment?, Answer:Yes, Description of Double-slit experiment: Physics experiment, showing light can be modelled by both waves and particles, Fact1: A minor is a human child., Fact2: The double-slit experiment can theoretically be replicated by any human. Ex Output: Step1: What species of living things does 'minor' refer to?, Step2: Can #1 replicate the double-slit experiment?, Wikipedia page for step 1: Minor (law), Wikipedia page for step 2: , not_definitive_answer: False, incorrect_answer: False Ex Input: Question: Can you transport a primate in a backpack?, Answer:Yes, Description of Transport: Human-directed movement of things or people between locations, Fact1: Primates include lemurs, monkeys, apes, and humans., Fact2: A Capuchin is a type of monkey that are an average height of twelve inches and weighs nine pounds., Fact3: A school ruler is twelve inches., Fact4: One school textbook can weigh up to six pounds. Ex Output: Step1: What is the average size and weight capacity of a backpack?, Step2: What are some common primates?, Step3: Is any of #2 such that its size and weight is less than or equal to #1?, Wikipedia page for step 1: Backpack, Wikipedia page for step 2: Primates, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_answer: False Ex Input: Question: Did Jon Brower Minnoch suffer from anorexia nervosa?, Answer:No, Description of Anorexia nervosa: Eating disorder characterized by refusal to maintain a healthy body weight, and fear of gaining weight due to a distorted self image, Fact1: Jon Brower Minnoch was an American man who, at his peak weight, was the heaviest human being ever recorded, weighing 1,400 lb., Fact2: Anorexia nervosa,Anorexia nervosa is an eating disorder, characterized by low weight, food restriction, fear of gaining weight, and a strong desire to be thin. Many people with anorexia see themselves as overweight even though they are, in fact, underweight. Ex Output:
Step1: What are characteristics of anorexia nervosa?, Step2: How much did Jon Brower Minnoch weigh?, Step3: Is #2 a weight that would be considered #1?, Wikipedia page for step 1: anorexia nervosa, Wikipedia page for step 2: Jon Brower Minnoch, Wikipedia page for step 3: , not_definitive_answer: False, incorrect_answer: False
1
NIv2
task168_strategyqa_question_decomposition
fs_opt
[ 0.7054266929626465, -0.43191805481910706, -0.6304208040237427, 0.3913995027542114, 0.14343398809432983, -0.16195796430110931, 0.9078953266143799, 0.5762336254119873, -0.44768261909484863, 0.06323640793561935, -0.4254712462425232, 0.2400732934474945, -0.512769877910614, 0.32270556688308716,...
Part 1. Definition In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. You can use context to find the motivation; however, all the inputs do not provide context. Also, in some inputs, there can be zero motivation; output, 'None' in this case. Part 2. Example Context: Jake was frustrated from work. Sentence: He decided to go for a walk at night. Character: Jack Answer: to have fun Explanation: Jack was frustrated from work; so, little walk at night can refresh his mood and he can have fun. Part 3. Exercise Context: Rory really wanted a new bracelet. Sentence: Unfortunately, the one she wanted was too expensive. Character: Rory Answer:
None
7
NIv2
task294_storycommonsense_motiv_text_generation
fs_opt
[ -0.45671725273132324, 0.4241909086704254, -0.43200820684432983, -0.10558700561523438, -0.09727748483419418, -0.29210364818573, 0.9909916520118713, 0.19954654574394226, 0.3100026845932007, -0.2456551343202591, -0.4538760483264923, -0.2018599808216095, -0.5138050317764282, 0.0652630925178527...
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No". [Q]: Japanese: 大地の動きは632.9キロメートルの深さで起こった。 Thai: โรเจอร์ เวบบ์ นักวิจัยชั้นนำ แห่งศูนย์ป้องกันการฆ่าตัวตายของมหาวิทยาลัยแมนเชสเตอร์ผู้ร่วมโครงการนี้กล่าวว่า อัตราการการผูกคอตายสูงในสก็อตแลนด์นั้นเป็น "เรื่องที่น่าวิตกเป็นพิเศษเนื่องจากการผูกคอตายมีอัตราการเสียชีวิตสูงและป้องกันได้ยาก นอกจากจะมีการกำหนดมาตรการขึ้นภายในระบบ" [A]: No [Q]: Japanese: Randjelovicは事故の時に訓練中の飛行機を誘導していて、ベオグラード航空機のアクロバットショーの準備をしていた。 Thai: พันอากาศโท เรด แรนด์เจโลวิคกำลังทำการฝึกฝนการบินในขณะเกิดอุบัติเหตุและกำลังเตรียมการสำหรับงานแสดงเครื่องบินผาดโผนที่เบลเกรด [A]: Yes [Q]: Japanese: 震動は、およそ2分間続いて、島の多くの海辺のコミュニティでパニックを引き起こした。 Thai: การสั่นสะเทือนเป็นเวลานาน 2 นาที ได้สร้างกระแสความหวาดกลัวให้แก่ชุมชนใกล้ชายฝั่งทะเลหลายแห่งบนเกาะนี้ [A]:
Yes
5
NIv2
task1129_alt_ja_th_answer_generation
fs_opt
[ -0.3612469434738159, -0.4665699899196625, -0.07350718975067139, -0.2651769518852234, 0.22032251954078674, -0.863075852394104, 0.5690313577651978, 0.7570669054985046, -0.5225207209587097, -0.12812769412994385, -0.8349379301071167, 0.6323519945144653, -0.2689743638038635, 0.3287373185157776,...
Definition: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category. Input: @Wizards_DnD @JimZub tranny dragons, eh? I know some people that will love this! Output:
Neither
2
NIv2
task904_hate_speech_offensive_classification
zs_opt
[ -0.8434582948684692, 0.35745206475257874, 0.3536248803138733, 0.3943517208099365, -0.1258608102798462, -0.8038957118988037, 0.10730999708175659, 0.2265213578939438, 0.32231003046035767, 0.43276190757751465, -0.2285967767238617, -0.5741658210754395, -0.5474074482917786, -0.9525481462478638,...