inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
In this task, you are given an input list A comprising of numbers and alphabets. You need to extract and sort the unique alphabets in the list. The alphabets in the input list will only be in lowercase. Return -1 if there is no alphabet in the input list.
Example Input: ['i', '9575', '8995', 'm', 'o', '3015', '4005', '6909', '7195', '3361', 'j', '5253', '9523', '8879', '5861', 'e', 'y', 'e', '1525', 'i', '807', '8469', '3333', '4017', '2237', '3387', 'o', '643', 'p', '7129', '6243', 'y', '4913', 'z', 'f', '6909', 'f', '4347', '7227', 'o', 's', '9909', '8611']
Example Output: e, f, i, j, m, o, p, s, y, z
Example Input: ['2799', '7519', '345', 'e', 'l', '9369', '4703', '4111']
Example Output: e, l
Example Input: ['5499', 'p', 'q', '99', 'h', '9247', 'u', 'i', 'y', '8831', '769', 'w', 's', 'i', '2523', 't', 'b', '4609', 'f']
Example Output: | b, f, h, i, p, q, s, t, u, w, y
| 3 | NIv2 | task636_extract_and_sort_unique_alphabets_in_a_list | fs_opt | [
-0.09688324481248856,
-0.18536798655986786,
-0.4291360378265381,
0.19659143686294556,
0.32355713844299316,
-0.5326715707778931,
0.5397753715515137,
0.49525099992752075,
-0.5923047661781311,
0.2829446792602539,
-0.6852597594261169,
-0.1443062275648117,
-0.45819994807243347,
0.06279258430004... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Unha boa maneira de comezar é co refugallo.
| خب جای خوب برای شروع ، ضایعات هستند. | 5 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-0.6768203377723694,
1.2916324138641357,
0.21693915128707886,
-0.5701874494552612,
-0.17311212420463562,
-0.569778561592102,
0.6017982959747314,
0.20160897076129913,
-0.040589768439531326,
0.156849205493927,
-0.8282320499420166,
0.6310412883758545,
-0.5946553945541382,
0.4129478335380554,
... |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.
One example is below.
Q: Person1: Hey man, you wanna buy some weed?
Person2: Somewhat?
Person1: Weed! You know ? Pot , Ganja , Mary Jane some chronic !
Person2: Oh , umm , no thanks .
Person1: I also have blow if you prefer to do a few lines .
Person2: No , I am ok , really .
Person1: Come on man ! I even got dope and acid ! Try some !
Person2: Do you really have all of these drugs ? Where do you get them from ?
Person1: I got my connections ! Just tell me what you want and I ’ ll even give you one ounce for free .
Person2: Sounds good ! Let ’ s see , I want .
Person1: Yeah ?
Person2: I want you to put your hands behind your head ! You are under arrest!
A: fear, disgust, fear, happiness, fear, happiness, fear, disgust, fear, happiness, disgust, fear
Rationale: The conversation happened between the two people contains the emotions fear, disgust, and happiness. Therefore the labels are in the order.
Q: Person1: You had better get a grab instead of getting upset about little things .
Person2: I know . But my life seems super stressful . I really don ’ t know how to get a better grab on things .
Person1: I think as long as you try your best and don ’ t think of anything too much , everything will be all right .
A: | No emotion,No emotion,No emotion | 9 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.3466372489929199,
0.3202897906303406,
-0.31361761689186096,
-0.7680636048316956,
-0.014261561445891857,
-0.9584586024284363,
0.9782348871231079,
0.37457162141799927,
-0.090232715010643,
-0.21747234463691711,
-0.7716585397720337,
-0.4302871525287628,
-1.0249881744384766,
0.117777474224567... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question.
Question: Who was the host of the Olympics where Henry Littlewort won a gold medal? Passage:Crystal Palace started their second season in a new division, having gained promotion from the Southern League Division Two the previous season. There were a number of personnel changes this season, with Archie Grant and captain Ted Birnie moving to Chelsea and George Walker going to New Brompton. Palace's hat-trick hero in their FA Cup exploits of last season, Walter Watkins, also moved on to Northampton Town. In their places Palace brought in a number of new faces. Charles Ryan joined from Nunhead, Thomas Wills from Newcastle, Bill Forster from Sheffield United and Bill Ledger from Pryhope Villa. Wilf Innerd was made captain and played in all but one of the club's League and Cup matches. The club struggled to find their feet on the new division, and failed to score in 13 of their matches, finishing the season in 19th position, one place off the bottom. This was enough to ensure safety though, as for this season there was no relegation. Palace again called on a number of amateurs from the local area and beyond, including Henry Littlewort. Littlewort, who made his only appearance for the club this season, would go on to win a gold medal with the British Football team in the 1912 Olympics.
Links: a. Henry Littlewort b. Sheffield United F.C. c. Northampton Town F.C. d. 1912 Summer Olympics
Output: | d | 1 | NIv2 | task231_iirc_link_classification | zs_opt | [
0.769089937210083,
0.8915051817893982,
-0.9639296531677246,
-0.14696398377418518,
0.6091042757034302,
-0.5120781064033508,
0.23552393913269043,
0.06959858536720276,
0.1677071750164032,
-0.42803940176963806,
-0.5709125995635986,
0.9298625588417053,
-0.7787160873413086,
-0.0968688428401947,
... |
Detailed Instructions: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Problem:Incredibly, the top hatch of the tank opened and a blond haired man stuck his head out.
Solution: | Singular | 8 | NIv2 | task430_senteval_subject_count | zs_opt | [
-0.3090336322784424,
0.34397178888320923,
0.38512754440307617,
-0.2773974537849426,
-0.5780866146087646,
-0.7248088717460632,
1.123108148574829,
-0.2528908848762512,
-0.07448644191026688,
-0.10936988145112991,
-0.6338106989860535,
-0.28643760085105896,
-0.9759620428085327,
0.16077561676502... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
One example is below.
Q: Comment: It's bad enough we already have all these American sicko's living in this country shooting up theatre, schools, churches, malls, etc., we don't have room for crazy muslims.
A: Identity-attack
Rationale: This comment contains identity attacks on both American and Muslim.
Q: Comment: Good grief, a guy dressed up like Santa Claus in a Muslim country like Turkey should have been a dead give away.
Happy New Year from a follower of the religion of peace.
I wonder what it is that inspires, incites and leads Muslim followers of Islam to kill innocent civilians? Where do Muslims get the idea they must maim and kill innocent civilians in Turkey and in many other countries around the world?
A: | Identity-attack | 9 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.05856163799762726,
0.1691039502620697,
0.4862510561943054,
0.6133476495742798,
0.23666927218437195,
-0.37036222219467163,
0.8044297099113464,
0.5098428726196289,
0.02008335292339325,
0.8003426790237427,
0.4590948820114136,
0.34107646346092224,
-0.4634605050086975,
-0.2636663019657135,
... |
Detailed Instructions: In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: 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: How many of the alumni are associated with the UK Conservative party ?
A: | WRB JJ IN DT NNS VBP VBN IN DT NNP NNP NN . | 9 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.24998629093170166,
0.09790598601102829,
0.003082685638219118,
0.011978349648416042,
-0.30284154415130615,
-0.8375518321990967,
1.0110981464385986,
0.5570827722549438,
-0.379413366317749,
-0.030266694724559784,
0.1581173837184906,
0.33197563886642456,
-0.3255684971809387,
0.23364521563053... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Problem:आंतरराष्ट्रीय होमेजेस् विभागात टेरेन्स मार्श, मिलोस फोरमॅन आणि ऍनी व्ही कोटेस यांना श्रद्धांजली अर्पण करण्यात येणार आहे.
Solution: | In the International Homages this year we will pay tribute to Terence Marsh, Milos Forman, and Anne V Coates. | 8 | NIv2 | task1086_pib_translation_marathi_english | zs_opt | [
0.7171300053596497,
0.40285855531692505,
0.14565284550189972,
0.6280918717384338,
-0.14416001737117767,
-1.0417462587356567,
0.6493977308273315,
-0.331703245639801,
-0.07301271706819534,
0.07073736190795898,
-0.500082790851593,
0.4165459871292114,
-0.2554176449775696,
0.4669584035873413,
... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence.
Example: Statement: Next to the MGM Grand you will find M and M World, four stories of merchandise and memorabilia dedicated to the candy that doesn't melt in your hand. Choices: 1. The candy has many fans who love its attractions. 2. There's four stories of memorabilia dedicated to a candy. 3. That particular candy melts and becomes difficult to eat.
Example solution: 2
Example explanation: The candy may or may not be popular, and does not melt and become difficult to eat. Hence the second choice is the only one that fully agrees with the statement.
Problem: Statement: The huge man, Thorn, continued to watch the woman as she pulled her saber from the sand and sheathed it under her cloak. Choices: 1. The small petite man was no match for the large woman. 2. The woman was waiting for the man to look away to make a run for it. 3. The woman hid her weapon as the large man watched her.
| Solution: 3 | 5 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
0.6687561273574829,
0.028260130435228348,
-0.5961264371871948,
-0.41973817348480225,
0.5273520946502686,
-0.41552919149398804,
0.43386900424957275,
0.7892640829086304,
0.29094257950782776,
-0.3646290898323059,
-0.5428918600082397,
0.0866115465760231,
-0.3787970244884491,
-0.420778751373291... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Input: Consider Input: ['o', 'a', 'K', '6031']
Output: 6031
Input: Consider Input: ['t', 'G', '217', 'W', 'l', 'j', 'd', 'U', '6795', '1609', 'n', '6919', '617', '5753']
Output: 21910
Input: Consider Input: ['L', 'i', '9225', 'w', '5365', '8077', '2733', 'W', '8493', 'B']
| Output: 33893
| 2 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.007838733494281769,
1.0803167819976807,
-0.6339477300643921,
-1.2395732402801514,
-0.36485645174980164,
0.18772479891777039,
0.18726256489753723,
-0.1118389219045639,
-0.5630902051925659,
0.1975063532590866,
-0.8145067691802979,
-0.0652136281132698,
0.1700270026922226,
-0.26446288824081... |
Q: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. 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 bakes bread<sep>Tail: accomplished
A: | No | 7 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.8238527774810791,
0.3762911558151245,
0.5975853204727173,
-0.04494742304086685,
-0.6927237510681152,
-0.89702308177948,
1.228411078453064,
0.5265042781829834,
-0.8165146112442017,
-0.369958758354187,
-0.2633720934391022,
-0.5429226160049438,
-0.4452555179595947,
0.5752871632575989,
0.7... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
[EX Q]: ['9465', 'I', '2459', '4053', '1183']
[EX A]: 1
[EX Q]: ['M', 'O', '7347', '1221', '6151', 'z', '867', '1505']
[EX A]: 3
[EX Q]: ['7187', 'P', 'J', '3271', 'S', 'x', '3061', '385', 'C', 'r', 'M', 'h', 'Z', 'G', '4881', 'm', 'a', 'd', 'o', '6797', 'q', 'j', '8005', 'o', '8649', '8993', '3907', '2741', 'k', 'o', '5869']
[EX A]: | 19
| 6 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
0.289640873670578,
0.23533284664154053,
-0.58156418800354,
-0.19776876270771027,
-0.047242745757102966,
-1.0789304971694946,
0.6466037631034851,
0.48712635040283203,
-0.8953543305397034,
0.3452828824520111,
-0.6101921796798706,
0.04732583463191986,
-0.04599166661500931,
0.04825492203235626... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
See one example below:
Problem: Aquí esta la medusa ala-x de la muerte.
Solution: Qui c'è la medusa mortale con le ali ad X.
Explanation: The Spanish sentence is correctly translated into Italian, because the meaning is preserved.
Problem: Trabajé con un biólogo sintético y creé un perfume ingerible: una píldora que se traga y una fragancia que sale a la superficie de la piel cuando uno transpira.
Solution: | Ho lavorato con un biologo sintetico, e ho creato un profumo che si ingoia, ossia una pillola cosmetica che si mangia e la fragranza fuoriesce dalla superficie della pelle quando traspirate. | 4 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.22252780199050903,
0.9273727536201477,
-0.5405828952789307,
-0.28103604912757874,
-0.8219826221466064,
-0.6663780212402344,
0.0628192350268364,
1.0109262466430664,
0.09864571690559387,
0.10711950808763504,
-0.30849361419677734,
0.290198415517807,
-0.08987107872962952,
0.3580037951469421... |
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.
Part 2. Example
A ideia é muito, muito simples.
Answer: このアイデアはとてもシンプルで
Explanation: The Portugese sentence is correctly translated into Japanese, because the meaning is preserved.
Part 3. Exercise
Este instrumento revolucionário permitiu que diferentes proteínas emitissem luzes de cores diferentes. Com a ajuda de um computador, ele conseguiu transformar borrões em pontos nítidos e gerar imagens com uma nitidez impressionante e sem precedentes.
Answer: | この革新的な装置は異なるタンパク質の分子を異なる色で光らせコンピュータ処理によりとてもとてもぼやけた画像を非常にくっきりした点に変え前例のない目を見張るような鮮明な画像を映し出しました | 7 | NIv2 | task1275_ted_translation_pt_ja | fs_opt | [
-0.17210477590560913,
0.6122384667396545,
0.13488343358039856,
-0.42997846007347107,
-0.2416931837797165,
-0.453926682472229,
0.5850460529327393,
0.5916563272476196,
0.5297622084617615,
-0.6512349843978882,
-0.916181206703186,
-0.3294367790222168,
-0.4343048334121704,
0.1219434142112732,
... |
Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
[Q]: The effect of clicking a bar feature is being passive for a while .
[A]: The effect of wearing a television show is being passive for a while .
[Q]: You can include a bed sheet to escape out the nursery .
[A]: You can use a bed sheet to escape out the loft .
[Q]: You are anxious to pop a piece of spinach in a magazine .
[A]: | You are likely to find a network of information in a newspaper .
| 5 | NIv2 | task413_mickey_en_sentence_perturbation_generation | fs_opt | [
0.40954846143722534,
0.4767398238182068,
-0.30951982736587524,
-0.18305808305740356,
0.3348938822746277,
-0.4472805857658386,
0.1719786524772644,
0.7093527317047119,
-0.15453360974788666,
0.19128303229808807,
-0.9427292346954346,
0.03345932066440582,
-0.816364049911499,
-0.0669598430395126... |
You will be given a definition of a task first, then some input of the task.
The goal of this task is to translate questions in Catalan into English. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
Què és el NASUWT?
Output: | What is the NASUWT? | 1 | NIv2 | task1676_xquad-ca_translation | zs_opt | [
-0.26132553815841675,
0.639138400554657,
0.5011477470397949,
-0.09173013269901276,
-0.13138781487941742,
-0.25077545642852783,
0.6410869359970093,
-0.4418419897556305,
-0.42268258333206177,
0.4837493896484375,
-0.04761305823922157,
0.01981290802359581,
-0.5147795677185059,
-0.3579296469688... |
Part 1. Definition
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Part 2. Example
Article: There are a lot of public libraries in Britain. These libraries have more than one hundred and fifteen million books, not including those libraries of public schools. Public libraries not only lend books, music records but also help children, patients in hospitals and others to get special play readings, film shows and so on. The first public libraries were founded in about the year 1850. Today's public libraries usually have a reading-room, a lending room and a reference room. The greatest and most famous library in Britain is that of the British Library in London. It was founded in 1973 and has over 10, 000, 000 books. It has nearly every magazine, newspaper and book published in Britain and other parts across the world.
Answer: 10,000,000 or less.
Answer: How many books are there in the British Library?
Explanation: In the Article, 10,000,000 is mentioned for the number of books available in the British Library, so this is a good question.
Part 3. Exercise
Article: Electronic waste, or e-waste, refers to electronic products that are no longer usable. This can include TVs, cell phones and computers and other office electronics, electronic toys and videos machines. Today, the average turnover rate for a computer in the United States is every two years, according to the environmental group, Greenpeace. The group's Dai Yun says e-waste is a global problem. "The electronic industry is one of the fastest growing industries in the world. The high speed of growth in this industry means more and more electronic products are being wasted and thrown away. If no one decides to retrieve the old products and process them properly, the electronic waste will sweep over the earth like the huge wave behind me and pollute the Earth seriously." Greenpeace works out that 20 to 50 million tons of e-waste are produced globally each year. The components in many electronic products contain harmful chemicals that pollute ground water and the environment. At present , the U.S. has no federal law for the disposal of e-waste although a few states have e-waste recycling programs in place, but there is no law. The U.S. exports much of its e-waste to third world countries, such as India and China, where workers took apart computers for valuable parts, hoping to sell them for money. But harmful wastes expert, Dr. Bakul Rao, says that's a dangerous practice. "From now on, the recyclers are not very educated. All they know is they can retrieve copper or gold out of it. So, the easiest way to do that is leach it out in an acid or burn it off to retrieve it. So, that's where they don't know how to deal with it, neither do they have any health systems in place. So, their exposure is more."
Answer: A table
Answer: | Which of the following is most likely not to be a form of e-waste? | 7 | NIv2 | task311_race_question_generation | fs_opt | [
0.5805691480636597,
0.416822224855423,
-0.4798656702041626,
-0.11797015368938446,
0.9820036292076111,
0.1462714672088623,
0.527778685092926,
0.4691372513771057,
0.014676942490041256,
0.23544731736183167,
-0.18317359685897827,
0.6855543851852417,
-0.9457782506942749,
0.25062596797943115,
... |
Detailed Instructions: In this task, you are given an input list A. You need to find all the elements of the list that are numbers in the same order as they appear in the list A.
Q: ['3477', '3961', 'R', '1943', 'L', 'd', '8509', 'b', 'E', '5275', '2169', 'l', 'F', '8079', '997', '2783', 'r', '2313', 'g', 'u']
A: | 3477, 3961, 1943, 8509, 5275, 2169, 8079, 997, 2783, 2313 | 9 | NIv2 | task497_extract_all_numbers_from_list_in_order | zs_opt | [
-0.4712032079696655,
0.1713898479938507,
-0.2658361792564392,
-0.6828712224960327,
-0.28906452655792236,
0.020494943484663963,
0.6700623035430908,
-0.23678261041641235,
-0.5063965320587158,
0.29714086651802063,
-1.3434486389160156,
-0.2070033699274063,
0.12622404098510742,
0.23382264375686... |
Teacher: In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
Teacher: Now, understand the problem? If you are still confused, see the following example:
My stomach will be upset if i eat that.
Solution: Do you like pineapple on your pizza?
Reason: The answer given was regarding something that the person ate and it caused his stomach upset. The question asked was if that person likes pineapple on pizza. Based on the given answer, the question was predicted correctly.
Now, solve this instance: I hate physical activity.
Student: | Do you like playing sports? | 2 | NIv2 | task568_circa_question_generation | fs_opt | [
0.1384241133928299,
-0.16568392515182495,
0.3456555902957916,
0.014182229526340961,
0.3626258373260498,
-0.8302350044250488,
0.04729049280285835,
0.44162097573280334,
-0.02981080859899521,
-0.48926225304603577,
-0.27965158224105835,
-0.040208593010902405,
-1.2570420503616333,
-0.5213831663... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
One example is below.
Q: But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of view. Her comments were criticised by a Labour AM. Alun Davies said threatening legal action "sounds like the last breath before you're thrown out of the pub". Mr Davies said he was not convinced the Welsh Government would "have a leg to stand on" in trying to shape international trade deals after Brexit. Following Donald Trump's comments during last week's trade visit that the NHS would be "on the table" in any future trade talks between the UK and the USA, Eluned Morgan said there was "absolutely no prospect whatsoever of us allowing the Welsh NHS to be part of any negotiation." The US President then rowed back on his initial comments following criticism from a number of MPs. Asked about her response to President Trump's remarks as she gave evidence to the Assembly's Brexit committee on Monday, Ms Morgan said "legally, it would be difficult for us to stop because we don't have a veto over trade". "Politically, I think it's extremely unlikely to happen," the international relations and the Welsh language minister said. "They [the UK Government] should not be concluding any trade agreements without consulting us where we have the power." Ms Morgan explained that UK and Welsh government officials are working on an agreement or 'concordat' for how future trade deals are negotiated. During a robust exchange, the Labour AM Alun Davies said: "I want something which is in law to which I can hold you to account and which colleagues in Westminster can hold the UK Government to account. "The argument we'll make life difficult for them, it sounds alright on the street, but it's not the reality of intergovernmental relations." "The United Kingdom has to find a way of functioning. "At the moment, your answers aren't giving me any confidence that there is that structure in place because, if the Welsh Government's argument is, 'we'll see you in court', it's not a very impressive argument either for the continuation of the structure of United Kingdom as a state or the commitment of the government within the United Kingdom to actually work together," he added. Responding to the criticism, Ms Morgan said: "Is the current intergovernmental structure adequate? "Absolutely not... and it's not just in relation to trade, it's in relation to almost every aspect of government policy. So, that infrastructure needs to be built."
A: NHS Wales: Court action if trade deals affect service?
Rationale: The output phrase is the appropriate title for the given text and it highlights the essence of the passage.
Q: Leader Adam Price has pledged that Plaid would offer a referendum if it formed a government and got a Senedd majority to back it. It is a first for the party, which has never previously promised to offer an independence vote in the first term of a Plaid government. But the power to call a vote would still lie with the UK government. It allowed one to take place in Scotland in 2014 after the SNP won a majority in the Scottish Parliament elections three years earlier. In a speech in Cardiff Bay, Mr Price said something "new and better" must come out of the Covid crisis. "Independence is the most radical idea in Welsh politics today," he said. Mr Price told an audience watching via social media that devolution was "under attack" from Boris Johnson's UK government and that Scottish demands for a second independence referendum were "unstoppable". "Wales is in real danger of being left behind as part of a rump United Kingdom, in a new England-and-Wales formation - which would be the ultimate worst of all worlds," he said. "It is for these reasons that I pledge today that, subject to party approval, a Plaid Cymru government, able to command a majority in the Senedd, will offer a referendum on independence for Wales in its first term." Previously Mr Price had said a referendum would take place in the second term of a Plaid government and before 2030. The change in policy comes in response to a report commissioned by the party which recommended two referendums on independence. The first was proposed as "multi-choice" exercise to gauge opinion, and the second a vote on the preferred option in the referendum. Now Mr Price is promising one single vote offering a choice between independence and the status quo. The political impasse over Brexit in 2019 saw a variety of pro-independence marches around Wales, organised by non-party political groups and attended by thousands of demonstrators. Referencing those events, Mr Price made a direct pitch to those who attended for their support. "Banners and marches fuel our fire, but the Welsh spring will only truly bloom at the ballot box in May. If you want independence, you have to vote for it," he said. After the speech the Plaid Cymru leader added: "I'm the only pro-independence candidate for first minister. "If we're able to form a government and get that referendum I think we'll win it." This is a big move from Adam Price. Even before he became leader he said Plaid should make independence their "express purpose… sooner, rather than later" and it's clear he feels the time is right. Brexit, and more recently the coronavirus pandemic, have moved independence into the mainstream of Welsh political conversation, as the growth of unaffiliated, pro-independence groups attest. Mr Price wants to harness that momentum going into next year's elections, but it's by no means a clear route to electoral success. Opinion polling does suggest a rise in support for Welsh independence, but it's a very long way from showing a consistent majority in favour.
A: | Plaid Cymru pledges independence vote if it wins Senedd election | 9 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.37656962871551514,
1.2722996473312378,
-0.12559765577316284,
-0.5236206650733948,
0.6587339043617249,
-0.7429423332214355,
0.3819064497947693,
0.7737389802932739,
-0.23667247593402863,
0.32186657190322876,
0.3468438386917114,
1.0760681629180908,
-0.16149401664733887,
0.4468115568161011,
... |
Given the task definition and input, reply with output. In this task, you are to Translate German text to English
Durch den Auftrieb stößt der Schwimmer (6) gegen die Unterseite der Siebplatte (2) und verhindert dadurch die Überfüllung des Behälters (25).
| Upward lift will raise the float (6) until it abuts against the underside of the mesh bottom plate (2), thereby preventing the container (25) from being overfilled. | 5 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.2763993740081787,
0.9607584476470947,
0.2638394236564636,
-0.024786530062556267,
-0.00583600951358676,
-0.09924894571304321,
-0.10282016545534134,
0.4056263566017151,
-0.19714197516441345,
0.1429225504398346,
0.5544759631156921,
0.278279185295105,
-0.5055657625198364,
-0.297020256519317... |
In this task, you're given two sentences. Indicate if the first sentence clearly entails the second sentence (i.e., one can conclude the 2nd sentence by reading the 1st one). Indicate your answer with '1' if the first sentence entails the second sentence, otherwise answer with '0'.
Example: Sentence 1: No Weapons of Mass Destruction Found in Iraq Yet. Sentence 2:Weapons of Mass Destruction Found in Iraq.
Example solution: 0
Example explanation: In our first statement we clearly say that Iraq does not have any weapon of mass destruction but the second sentence says that weapon of mass destruction is found in Iraq which is contradiction. Hence output will be 0 for non entailment.
Problem: Sentence 1: Billy Werber, third baseman in Major League Baseball, has died at the age of 100. Werber died of natural causes on Thursday, January 22, 2009 at an assisted living center in Charlotte, North Carolina. He was moved there after his health deteriorated a month ago. His son said that when admitted, Werber refused to eat solid foods and would only drink liquids. "He just refused to eat and that was his plan," Bill Werber Jr. told the Associated Press. He added that his father was "sharp up until four weeks ago". Sentence 2: Werber died in North Carolina at the age of 100.
| Solution: 1 | 5 | NIv2 | task1344_glue_entailment_classification | fs_opt | [
-0.175950288772583,
0.3129313886165619,
-0.8614487051963806,
-0.11469602584838867,
-0.2871395945549011,
-0.7804814577102661,
0.4969545006752014,
0.799141526222229,
0.46313872933387756,
0.15354236960411072,
-0.9438319802284241,
0.7446171641349792,
-0.6366667747497559,
0.5098769664764404,
... |
In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Let me give you an example: What can one do after MBBS?
The answer to this example can be: What do i do after my MBBS ?
Here is why: In this example both the question ask the same thing about what to do after MBBS hence second question is the correct output
OK. solve this:
What are some lesser-known sights to see when visiting Chiang Mai, Thailand?
Answer: | What are some of the hidden gems of Chiang Mai that are off the beaten track? | 8 | NIv2 | task1345_glue_qqp_question_paraprashing | fs_opt | [
-0.09250178933143616,
0.12430644780397415,
-0.39146870374679565,
0.07829391211271286,
-0.6437867283821106,
-0.4389307498931885,
0.28488072752952576,
0.21689805388450623,
0.06112554669380188,
0.2475673407316208,
-0.22939960658550262,
0.17590931057929993,
0.1651027798652649,
1.00840139389038... |
In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
[EX Q]: Sentence-1: I ate a bag of peanuts a few minutes ago.<sep>Sentence-2: I have eaten .
[EX A]: Yes
[EX Q]: Sentence-1: Depends on the restaurant.<sep>Sentence-2: I am willing to travel 5 miles .
[EX A]: Yes
[EX Q]: Sentence-1: Of course!<sep>Sentence-2: It is good .
[EX A]: | Yes
| 6 | NIv2 | task566_circa_classification | fs_opt | [
0.011760452762246132,
0.03576880693435669,
0.17834147810935974,
0.13768525421619415,
-0.2751629948616028,
-0.5243880748748779,
0.14445482194423676,
0.8391885757446289,
-0.30639681220054626,
-0.10506238043308258,
-0.3001938462257385,
-0.6974170207977295,
-0.7102264165878296,
-0.256445050239... |
In this task you will be given a string that only contains single digit numbers spelled out. The input string will not contain spaces between the different numbers. Your task is to return the number that the string spells out. The string will spell out each digit of the number for example '1726' will be 'oneseventwosix' instead of 'one thousand seven hundred six'.
Q: nineeightzerofourfournineone
A: 9804491
****
Q: threetwoonesixeighteighteightsixfivethreeeight
A: 32168886538
****
Q: fourfivefivethreefiveeightonefourzerothree
A: | 4553581403
****
| 4 | NIv2 | task1443_string_to_number | fs_opt | [
-0.4995324909687042,
1.3735508918762207,
-0.6610498428344727,
-1.2079981565475464,
-0.6859198212623596,
-0.11590688675642014,
1.089882493019104,
0.1736382246017456,
-0.18495285511016846,
-0.09226750582456589,
-1.0253691673278809,
0.495618999004364,
-1.247639536857605,
-0.16055768728256226,... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Example: Ulwakhiwo neempawu zentsinga zemifuno.
Output: Construction and characteristics of vegetable fibre cordage.
'Ulwakhiwo neempawu' means construction/make-up and characteristics, 'zentsinga zemifuno' roughly translates to 'of fibre from vegetables'.
New input case for you: Loo nto ithetha ukuthi ayinakho ukuhambisana nomoya okanye nomoya namanzi.
Output: | This means it will not deal with air or air and water. | 1 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.21008196473121643,
0.4126681685447693,
0.33550697565078735,
0.06870581209659576,
-0.03949493169784546,
-0.15690283477306366,
0.9272785186767578,
0.12137848138809204,
-0.1492561399936676,
-0.07821391522884369,
0.1698230504989624,
-0.36481332778930664,
-0.2632819712162018,
0.0201773587614... |
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
['our', 'goal', 'is', 'to', 'calculate', 'the', 'molar', 'solubility', 'of', 'lead', 'two', 'chloride', 'which', 'is', 'a', 'slightly', 'soluble', 'compound', 'and', "we're", 'given', 'the', 'solubility', 'product', 'constant', 'KSP', 'which', 'is', 'equal', 'to', '1.6', 'times', '10', 'to', 'the', 'negative', '5', 'at', '25', 'degrees', 'this', 'time', 'now', "we're", 'starting', 'out', 'with', 'a', 'point', '1', 'molar', 'solution', 'of', 'potassium', 'chloride', 'so', 'if', 'we', 'have', 'a', 'beaker', 'here', 'and', 'we', 'have', 'a', 'point', '1', 'molar', 'solution', 'of', 'potassium', 'chloride', 'that', 'means', 'the', 'concentration', 'of', 'potassium', 'ions', 'in', 'solution', 'is', 'point', '1', 'molar', 'and', 'the', 'concentration', 'of', 'chloride', 'anions', 'in', 'solution', 'is', 'also', 'point', '1', 'molar', 'so'] | ['our', 'goal', 'is', 'to', 'calculate', 'the', 'molar', 'solubility', 'of', 'lead', 'two', 'chloride,', 'which', 'is', 'a', 'slightly', 'soluble', 'compound', 'and', "we're", 'given', 'the', 'solubility', 'product', 'constant,', 'Ksp,', 'which', 'is', 'equal', 'to', '1.6', 'times', '10', 'to', 'the', 'negative', 'five', 'at', '25', 'degrees.', 'This', 'time', 'now,', "we're", 'starting', 'out', 'with', 'a', 'point', '1', 'molar', 'solution', 'of', 'potassium', 'chloride', 'so', 'if', 'we', 'have', 'a', 'beaker', 'here', 'and', 'we', 'have', 'a', 'point', '1', 'molar', 'solution', 'of', 'potassium', 'chloride', 'that', 'means', 'the', 'concentration', 'of', 'potassium', 'ions', 'in', 'solution', 'is', 'point', '1', 'molar', 'and', 'the', 'concentration', 'of', 'chloride', 'anions', 'in', 'solution', 'is', 'also', 'point', '1', 'molar', 'so'] | 0 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.8332475423812866,
0.3209460377693176,
-0.3448694348335266,
-0.3321866989135742,
0.19055190682411194,
-0.8616942763328552,
0.3938393294811249,
0.5821236371994019,
-0.3907117545604706,
0.2728051245212555,
-0.21431690454483032,
-0.36670470237731934,
-0.4938125014305115,
-0.1628589630126953,... |
A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.
[EX Q]: சவோம்பங்கில் இந்திய உணவு கழகத்தின் உணவு சேமிப்பு கிடங்கு, தோளைதாபி குறுக்கு அணைத் திட்டம் மற்றும் பல்வேறு நீர் விநியோகத் திட்டங்களையும் சுற்றுலா தொடர்பான திட்டங்களையும் தொடங்கி வைத்தார்.
[EX A]: সাওমবুঙ্গ-এ তিনি দোলাইথাবি বাঁধ প্রকল্প, ভারতীয় খাদ্য নিগমের মজুতভাণ্ডার সহ জল সরবরাহ ও পর্যটন সংক্রান্ত একাধিক প্রকল্পের সূচনা করেন।
[EX Q]: இதனை அடுத்து இந்திய விளையாட்டு வரலாற்றில் முக்கிய தருணம் ஏற்பட்டுள்ளது. விளையாட்டை தனிநபர் மேம்பாடு, சமுதாய மேம்பாடு, பொருளாதார மேம்பாடு, தேசிய மேம்பாடு ஆகியவற்றிற்கான முக்கிய கருவியாக விளையாட்டை மாற்றி அமைப்பதை நோக்கமாகக் கொண்டது இந்த திட்டம்.
[EX A]: এটা ভারতীয় খেলাধুলার ইতিহাসে এক সন্ধিক্ষণ হিসেবে চিহ্নিত হবে, কেননা খেলাধুলাকে মূলধারায় নিয়ে গিয়ে ব্যক্তিগত উন্নয়ন, সমাজের উন্নয়ন, আর্থিক উন্নয়ন ও জাতীয় উন্নয়নের এক হাতিয়ার হিসেবে পরিগণিত করার লক্ষ্যেই এই কর্মসূচি |
[EX Q]: இந்த ஆண்டு பிப்ரவரியில் சீனாவில் நடைபெற்ற நமது வெளியுறவு அமைச்சர்கள் சந்திப்பின் போதும், பல்வேறு பிரச்சினைகள் குறித்து கருத்துப் பரிமாற்றம் செய்யப்பட்டது.
[EX A]: | এ বছরের ফেব্রুয়ারি মাসে আমাদের বিদেশমন্ত্রীদের বৈঠকে বিভিন্ন বিষয়ে মত-বিনিময় হয়েছে।
| 6 | NIv2 | task982_pib_translation_tamil_bengali | fs_opt | [
0.2493346929550171,
0.058221593499183655,
-0.29385361075401306,
0.33583685755729675,
-0.6543606519699097,
-0.7087571620941162,
0.753092885017395,
0.46059316396713257,
-0.23757953941822052,
-0.2783839702606201,
-0.39149436354637146,
0.5806872844696045,
-1.0110092163085938,
0.005400793626904... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
[Q]: Japanese: バングラデシュ気象庁は、地震がバングラデシュ第二の都市である南の港チタゴングを襲ったという声明を出した。
Lao: ພະນັກງານກອງທຶນຊ່ວຍເຫລືອຄົນໜຶ່ງ ເຊິ່ງໄດ້ນໍາເອົາເຂົ້າ ແມ່ນ ທ້າວ ແມັກສ ບີເບີດີ ຜູ້ທີ່ເຮັດວຽກ ສໍາລັບກອງທຶນສົງເຄາະການກຸສົນຄິດສະຕຽນ.
[A]: No
[Q]: Japanese: 「この製品に対して大変関心があります」と、ナショナル・エイズ・マニュアルの編集長キース・アルコーンは言った。
Lao: ສະກິບເປີ້ ບຣາດ ບັດເຕີ້ເວີດ ບັງເອີນແມ່ນຄົນຂອງນິວຊີແລນ ໄດ້ນຳເຮືອຖານຂອງສວິສແລນ ເຂົ້າເອົາຖ້ວຍລາງວັນ "ອັລດ໌ ມັກ" ຕິດຕໍ່ກັນເປັນຄັ້ງທີ່ສອງ.
[A]: No
[Q]: Japanese: 洪水は土曜日の暴風雨で起こり、その雨によって水の壁が峡谷を急速に下っていった。
Lao: ສຳນັກງານຄະນະກຳມະການອາຫານແລະຢາບໍ່ເຫັນດີກັບການຄົ້ນພົບຂອງຫ້ອງການກວດສອບລັດຖະບານທີ່ຜູ້ບໍລິຫານລະດັບສູງສ່ວນຫລາຍແມ່ນມີສ່ວນຮ່ວມໃນການດຳເນີນການການຮ້ອງຂໍໃນຄັ້ງນີ້ແລະ ບໍ່ເຫັນດີກັບການຊີ້ແຈງເຫດຜົນທີ່ສະເໜີແມ່ນມີຄວາມຜິດປົກກະຕິ ເຖິງແມ່ນຈະຍອມຮັບວ່າການຊີ້ແຈງຄວາມສາມາດໃນການຂະບວນການຮັບຮູ້ຂອງໄວລຸ້ນຍັງບໍ່ທັນມີມາກ່ອນໃນແບບການປະຕິບັດຂອງFDAກໍ່ຕາມ.
[A]: | No
| 5 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.8377718925476074,
-0.4208869934082031,
0.014614657498896122,
-0.11096303910017014,
0.17797012627124786,
-0.925803542137146,
1.0936850309371948,
0.7842689752578735,
-0.34264206886291504,
-0.29280370473861694,
-0.5131620168685913,
0.5788467526435852,
-0.4650454521179199,
0.572241723537445... |
Part 1. Definition
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
Part 2. Example
Hello. How may I aid you today?
Answer: agent
Explanation: This is a pretty straightforward dialogue, and the speaker wants to help the other. So, the agent is the speaker.
Part 3. Exercise
There is no flight with connection limit 0.
Answer: | agent | 7 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.6188626885414124,
0.7885850667953491,
0.13558797538280487,
-0.702019453048706,
0.12641245126724243,
0.4454788863658905,
1.2300173044204712,
-0.13816934823989868,
0.32121482491493225,
0.016159402206540108,
-0.7479963302612305,
-0.1862112581729889,
-0.7671500444412231,
-0.2155392169952392... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct subject of discussion or return "False" if it's incorrect.
Let me give you an example: Statement : Says the Annies List political group supports third-trimester abortions on demand.
Subject: abortion
The answer to this example can be: True
Here is why: abortion is a correct subject of the statement because it talks about a political group supporting demans of abortions. So True is the correct answer.
OK. solve this:
Statement: Obama "changed the rules in Washington. Gone are the free gifts from lobbyists. Gone are the fancy airplane rides for nothing."
Subject: ethics
Answer: | True | 8 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.0776161402463913,
0.23436349630355835,
-0.025476062670350075,
0.16779537498950958,
-0.5092482566833496,
-1.1197773218154907,
0.7637085914611816,
0.14508461952209473,
0.20509254932403564,
0.22925981879234314,
-0.7033548355102539,
0.2193385809659958,
-0.3959512710571289,
0.118417024612426... |
In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
[Q]: While this exists, use must be made of several different technical solutions to the problems of ship design and port equipment.
[A]: Ngelixesha lento ikhona, usetyenziso malenziwe kwiindidi ezohlukeneyo zosombululo lobugcisa kwiingxaki zokwenziwa kwenqanawa kunye nezixhobo kumazibuko enqanawa.
[Q]: Electrically Alterable Read Only Memory
[A]: Imemori yokufundwa kuphela eguqulwa ngombane
[Q]: Sheets should always be kept in hand (not belayed).
[A]: | Iintsontelo zokulawula iiseyile kufuneka zisoloko zigcinwe ezandleni (zingalaliswa phantsi).
| 5 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | fs_opt | [
0.16089600324630737,
0.8594416379928589,
0.07791677862405777,
-0.9037302136421204,
-0.09296005964279175,
-1.1261887550354004,
0.7404650449752808,
0.9133388996124268,
0.5468035936355591,
-0.3200955390930176,
0.19520622491836548,
0.07921423017978668,
-0.3116764426231384,
0.08349795639514923,... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a counterfactual context, the task is to generate a new story ending aligned with the counterfactual context and as close to the original ending as possible. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context and the story's general plot. The original ending is the last three sentences of the story. Also, a counterfactual context is a slight modification to the initial context. You should write a new story ending that edits the original story ending as little as possible to regain coherence with the counterfactual context. To sum up, you should write the last three sentences of a story based on the premise(first sentence) and the counterfactual context(second sentence) of the story.
Q: Premise: It was an exciting evening at the roller rink.
Initial Context: All the kids were doing tricks and having fun.
Original Ending: Michelle decided to try the limbo game. Her friends encouraged her to limbo lower. She made it under the bar and won a candy prize.
Counterfactual Context: All the kids were playing video games at the arcade.
A: | Michelle decided to try the racing game. Her friends stood by to encourage her to win. She made it to the last level and won a lot of tickets as a prize. | 9 | NIv2 | task269_csrg_counterfactual_story_generation | zs_opt | [
-0.37608233094215393,
0.40575581789016724,
0.03537615016102791,
-0.17527809739112854,
-0.15572968125343323,
-0.6342832446098328,
0.05758317559957504,
0.8531371355056763,
-0.10500025749206543,
-0.44593217968940735,
-0.3386530876159668,
-0.3676410913467407,
0.14226314425468445,
0.1708984375,... |
Detailed Instructions: In this task, you will be given two sentences separated by "because". You should decide whether the first sentence can be the result of the second sentence. If you can see a possible cause and effect relationship, answer with "plausible", otherwise answer with "not plausible".
Q: the woman took her family on vacation because her husband refused to leave her
A: | not plausible | 9 | NIv2 | task392_inverse_causal_relationship | zs_opt | [
-0.8062112927436829,
0.9041529893875122,
0.24801281094551086,
-0.47734490036964417,
-0.054580774158239365,
-0.4792611002922058,
0.6103503704071045,
0.9847569465637207,
0.33753418922424316,
-0.2702985405921936,
-0.36765265464782715,
0.3831399083137512,
-0.5840426683425903,
-0.39428424835205... |
instruction:
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators:
1. count: returns the number of rows in the view
2. only: 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
question:
eq { count { filter_eq { filter_less { all_rows ; home team score ; 14.0 } ; date ; 28 april 1973 } } ; 2 } = true
answer:
select the rows whose home team score record is less than 14.0 . among these rows , select the rows whose date record fuzzily matches to 28 april 1973 . the number of such rows is 2 .
question:
most_eq { filter_greater { all_rows ; date ; 2007 } ; competition ; friendly } = true
answer:
select the rows whose date record is greater than 2007 . for the competition records of these rows , most of them fuzzily match to friendly .
question:
greater { hop { filter_eq { all_rows ; team ; wauters motorsports } ; rounds } ; hop { filter_eq { all_rows ; team ; turner scott motorsports } ; rounds } } = true
answer:
| select the rows whose team record fuzzily matches to wauters motorsports . take the rounds record of this row . select the rows whose team record fuzzily matches to turner scott motorsports . take the rounds record of this row . the first record is greater than the second record .
| 9 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.3175489902496338,
-0.2510923147201538,
-0.5168673396110535,
0.13418757915496826,
0.2944462299346924,
-0.6058623790740967,
0.4131161570549011,
0.341280460357666,
-0.08151161670684814,
-0.329238623380661,
-0.49995362758636475,
0.022826600819826126,
0.30587732791900635,
0.4880231022834778,
... |
Q: Given a statement, generate a question such that the answer is contained in that statement.
Complex chemistry is needed to carry out cell division and reproduction
A: | What is needed to carry out cell division and reproduction? | 7 | NIv2 | task1580_eqasc-perturbed_question_generation | zs_opt | [
-0.11651611328125,
0.847724437713623,
-0.4002183973789215,
-0.36640992760658264,
-0.35887467861175537,
-0.3040393590927124,
-0.46434885263442993,
0.7687060236930847,
-0.2711651027202606,
-0.4781333804130554,
-0.46033477783203125,
-0.6019593477249146,
-1.2173540592193604,
0.8952937722206116... |
Classify the input text into either disfluent questions or proper questions. A disfluent question is a question that has some interruptions in it while framing. A proper question is the correct form of the question without any disfluency.
What did Iqbal fear would weaken the spiritual foundations of Islam and Muslim society?
proper
Who was chairman of the House Science Committee?
proper
Where did HT succeed in pulling off a bloodless coup in 1974?
| proper
| 0 | NIv2 | task1623_disfl_qa_disfluent_question_classification | fs_opt | [
0.6065062284469604,
0.34618914127349854,
0.4338814318180084,
0.18709054589271545,
0.1515865921974182,
0.01322459988296032,
1.0680112838745117,
-0.759269118309021,
-0.10631975531578064,
-0.05620618537068367,
-1.0456173419952393,
-0.3950968384742737,
-0.8104188442230225,
0.31080037355422974,... |
Detailed Instructions: In this task, given a sentence in the English language, your task is to convert it into the Thai language.
Q: Oscar Peterson, a Canadian jazz pianist who earned many honours during his decades-long career, died Sunday in Mississauga, Ontario aged 82.
A: | Oscar Peterson นักเปียโนแจ๊สชาวแคนาดาผู้ได้รับเกียรติยศมากมายตลอดช่วงสิบปีในอาชีพ เสียชีวิตเมื่อวันอาทิตย์ที่เมือง Mississauga รัฐ Ontario ในวัย 82 ปี | 9 | NIv2 | task551_alt_translation_en_th | zs_opt | [
0.1590900868177414,
0.420218288898468,
-1.0996086597442627,
-0.14112921059131622,
0.7027243375778198,
-1.4822512865066528,
0.3701787292957306,
-0.7046071887016296,
0.5686821937561035,
0.9635145664215088,
0.3403244614601135,
0.13300159573554993,
0.16804379224777222,
0.103547103703022,
1.1... |
Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Input: ט.ד: מאז שהיינו פה השבוע, אנחנו לקחנו מיליוני נשימות, ביחד, ואולי אנחנו לא חווינו שנויי מסלול בחיים שלנו, אבל רוב הזמן אנחנו מפספסים את השינוי העדין.
Output: | 今週私たちはここに集まって合わせて何百万もの呼吸をしましたがおそらく私たちの目の前で人生が変わるほどのことは起きていないでしょう私たちはかすかな変化を見逃しがちです | 3 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.8256754875183105,
0.26465529203414917,
-0.35299956798553467,
-0.47921866178512573,
-0.13534052670001984,
-0.5124027729034424,
0.4711173176765442,
-0.33474159240722656,
0.42570629715919495,
-0.2781003713607788,
-0.10112922638654709,
0.10341265797615051,
-0.4108206033706665,
0.56210780143... |
Detailed Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
Q: [87, -42, 13, -36, -85, -22]
A: | [13, -85, -22] | 9 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.3530905246734619,
0.2581304609775543,
-0.49829423427581787,
-0.7115465998649597,
0.22070859372615814,
-0.1367727518081665,
1.0240024328231812,
-0.42689400911331177,
-0.4459596276283264,
-0.05168746039271355,
-0.4507952630519867,
0.13496796786785126,
0.13161605596542358,
-0.2530912756919... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Q: Sentence: 'a television monitor is above two bathroom urinals'. Count the number of consonants in the given sentence.
A: | 23 | 4 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.2092573195695877,
0.49947917461395264,
-0.9187576770782471,
-0.30717894434928894,
0.10180550813674927,
0.24681837856769562,
-0.58610999584198,
0.658799409866333,
-0.10674569010734558,
-0.4100126326084137,
-0.29099228978157043,
-0.23382830619812012,
-0.34469205141067505,
-0.31376245617866... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
[Q]: Sentence 1: A black dog rolling in grass. Sentence 2: A dog plays outside.
[A]: A dog rolls in the grass, excited spring is finally here.
[Q]: Sentence 1: A man in a yellow shirt and striped pants is sitting at a small table outside. Sentence 2: The man sitting outside is wearing a yellow shirt and striped pants.
[A]: An old man in a yellow shirt is sitting outside.
[Q]: Sentence 1: Two motorcyclists are racing around a circular track. Sentence 2: Two bikers are racing around a track.
[A]: | Two bikers are racing fast.
| 5 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
-0.5115423202514648,
0.3510463237762451,
-0.055390749126672745,
-0.21644000709056854,
-0.2535030245780945,
-0.3400929570198059,
-0.12169501930475235,
0.7649203538894653,
0.5505337715148926,
-0.47856929898262024,
-1.0999184846878052,
-0.17658771574497223,
-0.32751643657684326,
-0.0028750326... |
Given the task definition, example input & output, solve the new input case.
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Example: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
Output: 2
The words 'street', and 'light' end with the letter 't'. So, the answer is 2.
New input case for you: Sentence: 'a woman in white is on a tennis court with her tennis racket held back behind her'. How many words end with the letter 'd' in the sentence.
Output: | 2 | 1 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.5672498345375061,
0.9057024717330933,
-0.8304730653762817,
-0.684977650642395,
0.29980915784835815,
0.5584973096847534,
0.1663510948419571,
0.8792813420295715,
0.6030955910682678,
-0.4384438991546631,
-0.33114784955978394,
0.11868700385093689,
0.1726056933403015,
-0.3763778805732727,
... |
TASK DEFINITION: In this task you will be given a string and you should find the longest substring that is a palindrome. A palindrome is a string that is the same backwards as it is forwards. If the shortest possible palindrome is length 1 you should return the first character.
PROBLEM: xexeeeeeeeexeee
SOLUTION: exeeeeeeeexe
PROBLEM: rfrffororffo
SOLUTION: rfr
PROBLEM: eteeehhheetet
SOLUTION: | eehhhee
| 8 | NIv2 | task850_synthetic_longest_palindrome | fs_opt | [
-0.1604337990283966,
0.9402497410774231,
-0.36887356638908386,
-0.27058207988739014,
-0.40813297033309937,
-0.25528544187545776,
1.1332677602767944,
-0.17497064173221588,
0.1226424127817154,
0.009845465421676636,
-0.4598856270313263,
-0.17161133885383606,
-0.8469468355178833,
0.31656897068... |
Part 1. Definition
In this task, given a sentence in the Chinese language, your task is to convert it into the English language.
Part 2. Example
2004年4月，那里的士兵逮捕了一名16岁的巴勒斯坦人，他身上绑着一枚自杀式炸弹。
Answer: In April 2004, soldiers there arrested a 16-year-old, also Palestinian, with a suicide bomb strapped to his body.
Explanation: The above sentence is correctly translated from Chinese to English
Part 3. Exercise
两人因涉嫌格拉斯哥国际机场袭击和伦敦汽车爆炸未遂在柴郡被捕。
Answer: | Two people have been arrested in Cheshire in connection with the Glasgow International Airport attack and attempted London car bombings. | 7 | NIv2 | task535_alt_translation_ch_en | fs_opt | [
0.5276656150817871,
0.6615556478500366,
-0.23055246472358704,
-0.701723575592041,
0.03540115803480148,
-0.02645324356853962,
0.30375513434410095,
0.4927689731121063,
0.338295578956604,
0.26439809799194336,
-0.13853813707828522,
0.8785755038261414,
-0.2756316065788269,
-0.07540394365787506,... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Input: Consider Input: Sentence: He always hugs me when he comes , but he gave me at {{ least }} 5 tight , long , back rubbing hugs while he was there .
Word: least
Output: RBS
Input: Consider Input: Sentence: The marches on the 12th of July are only really attended by protestants in the Ulster but in spite of the are the {{ largest }} attended paraded in Ireland .
Word: largest
Output: JJS
Input: Consider Input: Sentence: The staff leaves a lot {{ to }} be desired .
Word: to
| Output: TO
| 2 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.42003971338272095,
0.47812619805336,
-0.15998852252960205,
0.3362703025341034,
-0.03529348224401474,
-0.8699990510940552,
0.7053000330924988,
1.0599768161773682,
-0.5868557095527649,
-0.23811417818069458,
-0.19088241457939148,
0.36512985825538635,
-0.24770492315292358,
0.2624218165874481... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
A resposta é: A través dun dispositivo de tres cabezas. | 三又の器具これが答えです | 0 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.34941643476486206,
-0.041298333555459976,
-0.07592541724443436,
-0.6756301522254944,
-0.005325501784682274,
-0.3315259516239166,
0.5391857028007507,
-0.2871662974357605,
-0.5039088726043701,
-0.7996841669082642,
-0.6348065137863159,
0.41814008355140686,
-0.2553221881389618,
0.7924708127... |
A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
Ex Input:
രാജ്യത്തെ സാധാരണക്കാരുടെ മൂല്യങ്ങളും, പ്രതീക്ഷകളും പ്രയത്നങ്ങളുടെയും സഹായത്തോടെ നമുക്ക് ഈ പ്രസ്ഥാനത്തെ മുന്നോട്ട് നയിക്കണം.
Ex Output:
మనం సామాన్య మానవుడి ఆదర్శాలు, ఆకాంక్షలు మరియు ప్రయాస ల సాయంతో ఈ ఉద్యమాన్ని ముందుకు తీసుకు పోవలసివున్నది.
Ex Input:
ഇന്ന് നമുക്ക് ലോകത്താകെ വലിയതോതില് ജനങ്ങളെക്കൊണ്ട് യോഗ ചെയ്യിക്കാനാകുന്നുണ്ടെങ്കില് പല അവിശ്വസനീയ സത്യങ്ങളും ലോകത്തിന് മുന്നില് വെളിപ്പെടുമെന്ന് എനിക്ക് പൂര്ണ്ണ ആത്മവിശ്വാസത്തോടെ പറയാന് കഴിയും.
Ex Output:
నేను పూర్తి నమ్మకం తో ఒక విషయాన్ని చెప్పగలుగుతున్నాను అది ఏమిటంటే. ఈ రోజున మనం యావత్తు ప్రపంచం లో యోగాభ్యాసం చేస్తున్న వారిని అందరినీ ఒక చోటుకు తీసుకువచ్చామంటే అప్పుడు నమ్మశక్యం కాని వాస్తవాలు ప్రపంచానికి వెల్లడి కాగలవు.
Ex Input:
പതിനാറാമത് അന്താരാഷ്ട്ര ഊര്ജ്ജ ഫോറം മന്ത്രിതല യോഗത്തിലേക്ക് സ്വാഗതം.
Ex Output:
| 16వ ఇంటర్ నేశనల్ ఎనర్జీ ఫోరమ్ మంత్రుల స్థాయి సమావేశానికి మీకు ఇదే స్వాగతం.
| 1 | NIv2 | task1049_pib_translation_malayalam_telugu | fs_opt | [
-0.45094263553619385,
-0.15651287138462067,
-0.4288870692253113,
0.06280027329921722,
-0.6435139179229736,
-1.5535811185836792,
0.20686711370944977,
0.31234192848205566,
-0.22058585286140442,
-0.32132580876350403,
-0.685968279838562,
0.3201488256454468,
-0.239064559340477,
-0.0019466143567... |
Given a real-life anecdote of a complex ethical situation, identify who is wrong here. Classify each post into the following categories : AUTHOR (if the author of the post is wrong in the situation), OTHER (if any of the others mentioned in the paragraph is wrong), EVERYBODY (if everyone mentioned is wrong) and NOBODY (if no one is wrong in the situation).
So sorry if this doesn't make much sense but I'm currently crying as I type this. My mom came home and we got into an argument as I had informed her prior I would be out on new years evening for a party. Well my ride there consumed alcohol that I didn't even notice until texting my friends prior to making this post and as it was nearly 4 in the morning and no one else had a car I ended up staying over and texted my mom that this event was unforseen by me.
During the duration of the party I kept texting her to let her know I was alive as I couldn't call her due to a cold that stripped me of my voice.
So I get home and she goes off on me for leaving my diabetic 18 year old brother at home and for not asking the person who drove me what their plans were, even though I didn't realize they planned on consuming alcohol and when it reached 4 they just announced they were going to bed and the only other person that reasonably had a car left hours earlier due to having work the next day.
For some background info, my bro got diagnosed as diabetic 2 weeks ago, roughly, but it's merely symptoms of diabetes due to a pancreatic infection as the doctors put it. Still they have to treat my brother as if he has diabetes (this includes insulin shots, portion control, pills, etc). My brother is insanely capable of administering g and doing these things himself without my supervision. But my mother seems to believe that he can't and thought about pulling him from high school for some period of time because she was concerned he can't do those things by himself.
Essentially she said that I was in the wrong and chalked up everything to me having a cushy life since she could simply pay my tuition and be done with me. I lashed out and dropped some emotional baggage as a result and made her more mad and said I was further in the wrong for not coming home on time, finding a ride home, or asking my ride (who also hosted the party at their place) what they were planning on doing. So AITA here or did I overreact?
(I'm 21 and in the US, if that helps. I'm only at home for the holidays.)
OTHER
About a year and a half ago I moved nine hours away from my hometown for school. My mother, understandably, contacted me a lot to make sure I was alright and eating enough. In the beginning this that fine because I didn’t have any friends and contact with anybody was nice for me.
Of course as I settled into life I school I made friends and started to get busy. Now, a year and a half later, I have plenty of activities between school and friends and I find myself missing texts from everybody because I’m doing something else and not paying attention to my phone.
I was at a get together with my friends when the conflict started. She text me and I didn’t see it until about two am, at which point I felt it was useless to respond since it would be three am where she was and I didnt think she would see it. She knew I was hanging out with my friends that night playing video games and the like so I figured there wouldn’t be an issue with me not responding to her text of “what’s happening tonight?”
This isn’t how it went though. In the morning I woke up to a text stating that if I didn’t start replying to her text messages that she would have to phone the police.
Admittedly I think I overreacted her since I don’t believe she would actually do this but the rest of the conversation progressed with me saying that I was an adult now and didn’t always have time to respond, her saying I always had my phone on hand and it only took two seconds to respond, me saying I didn’t always have my phone on hand and sometimes I just forgot to respond, her saying that it was rude, and me telling her that if she felt like that then she didn’t have to contact me at all since I was on my own now and could take care of myself.
It didn’t go exactly like this and I could get screenshots of the exact conversation if anybody is interested, but this is the cliff notes version.
Tl:dr my mom made a hollow threat to call the cops if I didn’t respond to her text messages and I asked her to stop messaging me.
AUTHOR
We share a 2 bedroom flat. So my housemate is going on holidays for 2 weeks. She wants to let her friend who is a couple (they are also travelling) to stay in her room for that duration. I like being alone and not socialising when I’m home. I don’t really know them and I feel extremely uncomfortable living with strangers (albeit they are her friends). Should I just be a nice guy and feel weird in my own home during that time or am I the asshole for even feeling this way. Thanks
| NOBODY
| 0 | NIv2 | task498_scruples_anecdotes_whoiswrong_classification | fs_opt | [
0.9122658967971802,
0.31223249435424805,
-0.2658412456512451,
-0.2750748097896576,
0.6404390335083008,
-0.18795979022979736,
0.40538522601127625,
1.1829166412353516,
-0.12266334891319275,
0.00033492245711386204,
0.1384458839893341,
0.5520387887954712,
-0.6956643462181091,
0.101141273975372... |
Detailed Instructions: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: You are likely to replace a bird in a tree .
A: | You are likely to mean a bird in a tree . | 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.5762420892715454,
0.7476916909217834,
-0.022318072617053986,
-0.7120482325553894,
-0.14652374386787415,
-1.1632704734802246,
0.8716957569122314,
0.8022983074188232,
0.009198606945574284,
-0.34633469581604004,
-0.6354652047157288,
-0.27460482716560364,
-0.8102347254753113,
0.846966207027... |
Q: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the numerical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
['5349', 'u', '8677', '9053', '7665', 'j', '7055', 'h', 'H', '5853', '5221', 'L', '8629', '113', 'm', '5067', '3633', 'X', '6151', 'G', 'E', '4073', 'k']
A: | 1, 3, 4, 5, 7, 10, 11, 13, 14, 16, 17, 19, 22 | 7 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.24791984260082245,
0.2733737826347351,
-0.17197297513484955,
-0.8081371784210205,
0.2733593285083771,
-0.3881506323814392,
0.6609374284744263,
0.14634232223033905,
-0.5880756378173828,
0.41076722741127014,
-0.43646878004074097,
-0.07670563459396362,
-0.04139335826039314,
0.0776383504271... |
Definition: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: Congratulations to the #Hijra community in #Bangladesh.
Output: | تبریک به جامعه هجراهای بنگلادش. | 2 | NIv2 | task663_global_voices_en_fa_translation | zs_opt | [
-0.8863059878349304,
0.21180245280265808,
0.17815172672271729,
0.07746925950050354,
-0.2257060408592224,
-0.6103280782699585,
0.19616331160068512,
-0.11509209871292114,
0.6861683130264282,
0.21457283198833466,
-1.405792236328125,
-0.22219328582286835,
0.3193243443965912,
0.1150369420647621... |
Detailed Instructions: You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Q: Personality: I deliver packages for a living.
I love candy.
I'm a very funny woman.
I own 3 cats.
I drive a Honda car.
Chat history: -Please tell me your day has been better then mine.
-No clue, mine hasn't been going too well either.
-I almost slipped up and let my parents know I'm wiccan.
-What is wiccan? I haven't heard of it before.
-It is a religion based on being kind and treating others right.
Candidates 1) What does your dad do? My mom works at a grocery store as a checker. 2) Bach just came on shuffle. Classical gets me in the productivity zone. I said hipster, not trashy. 3) Oh I take it you have a religious family. 4) What type of car are you currently working on?
A: | Oh I take it you have a religious family. | 9 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.8391939997673035,
-0.3134281635284424,
-0.05244196951389313,
-0.13617311418056488,
-0.08334831893444061,
-0.6040447950363159,
0.761716902256012,
0.7434585094451904,
0.0649552196264267,
-0.03401871770620346,
-0.10213004052639008,
0.2136363685131073,
0.05092574283480644,
-0.24252587556838... |
Teacher:Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid 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.
Teacher: Now, understand the problem? Solve this instance: Context: Animal experiment studies have revealed a positive association between intake of citrus fruits and bone health. Nomilin, a limonoid present in citrus fruits, is reported to have many biological activities in mammalian systems, but the mechanism of nomilin on bone metabolism regulation is currently unclear.', 'To reveal the mechanism of nomilin on osteoclastic differentiation of mouse primary bone marrow-derived macrophages (BMMs) and the mouse RAW 264.7 macrophage cell line into osteoclasts.', 'Controlled laboratory study. Effects of nomilin on osteoclastic differentiation were studied in in vitro cell cultures.', 'Cell viability of RAW 264.7 cells and BMMs was measured with the Cell Counting Kit. TRAP-positive multinucleated cells were counted as osteoclast cell numbers. The number and area of resorption pits were measured as bone-resorbing activity. Osteoclast-specific genes expression was evaluated by quantitative real-time PCR; and proteins expression was evaluated by western blot.', 'Nomilin significantly decreased TRAP-positive multinucleated cell numbers compared with the control, and exhibited no cytotoxicity. Nomilin decreased bone resorption activity. Nomilin downregulated osteoclast-specific genes, NFATc1 and TRAP mRNA levels. Furthermore, nomilin suppressed MAPK signaling pathways.
Answer: This study demonstrates clearly that nomilin has inhibitory effects on osteoclastic differentiation in vitro. These findings indicate that nomilin-containing herbal preparations have potential utility for the prevention of bone metabolic diseases.
Student: | Does citrus limonoid nomilin inhibit osteoclastogenesis in vitro by suppression of NFATc1 and MAPK signaling pathways? | 6 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
1.1438508033752441,
0.1519811600446701,
-0.8524283170700073,
0.6655340194702148,
0.2670764625072479,
-0.7261446714401245,
0.42594894766807556,
0.872212290763855,
-0.23594018816947937,
0.015755020081996918,
-0.4717724323272705,
-0.17998695373535156,
-1.0155889987945557,
0.15881216526031494,... |
Instructions: In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Input: Ok then. Is there anything else notable about military bases in Guam?
Output: | user | 3 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.1767963469028473,
0.17101100087165833,
-0.3914405107498169,
-1.0228285789489746,
-0.514694094657898,
0.015617776662111282,
0.9736101627349854,
-0.767688512802124,
0.6640583276748657,
-0.3991718292236328,
-0.37128281593322754,
-0.6018316745758057,
-0.283708781003952,
-0.01951166614890098... |
Q: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.
मैं इस अवसर पर भारत में आप सभी का स्वागत करता हूं।
A: | गेल्यावर्षी आमच्या द्विपक्षीय व्यापाराने 20 अब्ज डॉलर्सचा टप्पा ओलांडला. | 7 | NIv2 | task1081_pib_translation_hindi_marathi | zs_opt | [
1.0640984773635864,
0.38700300455093384,
-0.313407838344574,
0.33483603596687317,
-0.034392353147268295,
-1.4261277914047241,
0.6271848678588867,
-0.16705739498138428,
0.5568277835845947,
-0.250406950712204,
-0.5003403425216675,
0.4339696168899536,
0.03726784139871597,
0.4086012840270996,
... |
You will be given a definition of a task first, then some input of the task.
A text is given in English. Translate it from the English language to the Malayalam language. The translation must not omit or add information to the original sentence.
PM arrives in Berlin for Fourth India-Germany Intergovernmental Consultations
Output: | നാലാമത് ഇന്ത്യ-ജര്മനി ഗവണ്മെന്റ് തല ചര്ച്ചകള്ക്കായി പ്രധാനമന്ത്രി ബെര്ലിനിലെത്തി | 1 | NIv2 | task1021_pib_translation_english_malayalam | zs_opt | [
-0.05169329792261124,
0.9929872751235962,
0.2787122130393982,
-0.12761613726615906,
0.2384967803955078,
-0.13632363080978394,
0.6364437341690063,
-0.5368973016738892,
0.002266558352857828,
0.3706146776676178,
-0.35398435592651367,
0.23545053601264954,
-0.43352192640304565,
0.18808093667030... |
You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Q: Sentence1: UAL attorney James Sprayregen told a court hearing yesterday that it would submit a fresh business plan , but gave no indication of when ., Sentence2: UAL bankruptcy attorney James Sprayregen said at a court hearing the company will submit an updated business plan to the Air Transportation Stabilization Board , but gave no timeframe .
A: | Yes | 4 | NIv2 | task1288_glue_mrpc_paraphrasing | zs_opt | [
-1.1535866260528564,
1.2168092727661133,
0.22196632623672485,
-0.5098425149917603,
-0.12048253417015076,
-0.28755101561546326,
0.31959569454193115,
0.8053432106971741,
-0.17358633875846863,
-0.018179811537265778,
-0.11520912498235703,
0.11885983496904373,
0.004468393977731466,
0.3951407670... |
TASK DEFINITION: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
PROBLEM: We have therefore brought an oblation for the LORD, what every man hath gotten, of jewels of gold, chains, and bracelets, rings, earrings, and tablets, to make an atonement for our souls before the LORD.
SOLUTION: و بنی روبین و بنی جاد را مواشی بی نهایت بسیار و کثیر بود، پس چون زمین یعزیر و زمین جلعاد را دیدند که اینک این مکان، مکان مواشی است.
PROBLEM: Therefore shall ye observe all my statutes, and all my judgments, and do them: I am the LORD.
SOLUTION: و اگر قوم زمین چشمان خود را از آن شخص بپوشانند، وقتی که از ذریت خود به مولک داده باشد، و او را نکشند،
PROBLEM: And thou shalt write them upon the door posts of thine house, and upon thy gates:
SOLUTION: | اینک من امروز برکت و لعنت پیش شمامی گذارم.
| 8 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
0.04352986067533493,
0.9542373418807983,
-0.46732062101364136,
-0.05267297476530075,
-0.5889946222305298,
-0.06667332351207733,
1.0183193683624268,
0.2178564965724945,
0.2891501784324646,
-0.004770155064761639,
-0.6956723928451538,
0.9593282341957092,
-0.7350109815597534,
0.196087628602981... |
Detailed Instructions: Given a comment text in Malayalam, classify the comment into one of these categories (i) Hope speech, (ii) Not Hope Speech or (iii) Not in Expected Language. A hope speech contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Q: 1m......സബ്സ്ക്രൈബ്..ആവാൻ 23 days മതി
A: | Not Hope Speech | 9 | NIv2 | task681_hope_edi_malayalam_text_classification | zs_opt | [
-0.40007680654525757,
-0.20957395434379578,
0.4982164800167084,
-0.24683648347854614,
-0.18323321640491486,
-0.5680176615715027,
-0.42689380049705505,
0.7380893230438232,
-0.53080153465271,
0.24945271015167236,
-0.5232599973678589,
-0.4258318543434143,
0.011501614935696125,
-0.544105529785... |
Definition: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. 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.
Input: Head: PersonX affects PersonY's interests<sep>Tail: steals a job
Output: | No | 2 | NIv2 | task1199_atomic_classification_xattr | zs_opt | [
0.246403768658638,
0.1451011300086975,
0.2908672094345093,
0.014808457344770432,
-0.49581465125083923,
-0.8008953928947449,
0.8279446363449097,
0.26560068130493164,
-0.4386473298072815,
-0.23145368695259094,
-0.4615139067173004,
-0.8432097434997559,
-0.6117151975631714,
-0.1451248526573181... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Input: Consider Input: passage: The group winners, Serbia, qualified directly for the 2018 FIFA World Cup. The group runners-up, Republic of Ireland, advanced to the play-offs as one of the best 8 runners-up, where they lost to Denmark and thus failed to qualify.
question: did ireland qualify for the 2018 world cup?
Output: No
Input: Consider Input: passage: The term Salt Belt refers to states, in the United States, in which large quantities of salt are applied to roads during the winter season to control snow and ice. States in the salt belt include Alaska, Connecticut, Delaware, Illinois, Indiana, Iowa, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, Vermont, Virginia, West Virginia, Wisconsin, and Washington DC. Other states such as Colorado and Utah are also considered part of the Salt Belt but use less corrosive substances.
question: do they salt the roads in washington state?
Output: No
Input: Consider Input: passage: The National Gallery of Art is supported through a private-public partnership. The United States federal government provides funds, through annual appropriations, to support the museum's operations and maintenance. All artwork, as well as special programs, are provided through private donations and funds. The museum is not part of the Smithsonian Institution.
question: is the national gallery of art part of the smithsonian?
| Output: No
| 2 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
0.41918548941612244,
0.24008136987686157,
-0.5287129282951355,
0.17899931967258453,
0.660804271697998,
-0.6204745173454285,
0.6563003063201904,
0.607111930847168,
-0.8956917524337769,
-0.028587428852915764,
-0.12774449586868286,
0.8701446652412415,
-0.09643357992172241,
0.5510683059692383,... |
In this task, you need to Translate Czech text to English.
Example input: Řešení se týká herbicidů a regulátorů růstu rostlin, obzvláště herbicidů pro selektivní potírání plevelů v kulturách užitkových rostlin. Konkrétně se týká nových acylovaných aminofenylsulfonylmočovin obecného vzorce I, způsobu jejich výroby a nových meziproduktů pro jejich výrobu, jakož i jejich použití.ŕ
Example output: The present invention relates to herbicides and plant growth regulators, in particular herbicides for the selective control of weeds in crops of useful plants. In particular, it relates to novel acylated aminophenylsulfonylureas of formula I, to a process for their preparation and to novel intermediates for their preparation as well as to their use.
Example explanation: The translation is fluent, formal, and accurate
Q: Vynálezem je pohonná jednotka pro zemní pracovní stroje pohánené kapalinou chlazeným spalovacím motorem, který je usporádaný v motorovém prostoru s kapotou a je opatren hlavním chladicem (7) pro chlazení chladící kapaliny spalovacího motoru a alespon jedním pomocným chladicem, kterým je napr. mezichladic vzduchu preplnování, chladic oleje, chladic klimatizace apod. Hlavní chladic (7) je opatren prvním ventilátorem a je usporádán oddelene od motorového prostoru. Mezi motorovým prostorem a hlavním chladicem je usporádán spolecný sací prostor (9) vzduchu, který je vytvoren pro nasávání vzduchu z vnejšku stroje a obsahuje první prepážku (11), usporádanou pro oddelení spolecného sacího prostoru (9) od motorového prostoru, a druhou prepážku (12). Hlavní chladic (7) je usporádán za druhou prepážku (12), zatímco pomocný chladici je usporádán pred první prepážkou (11), pricemž první ventilátor (8) hlavního chladice (7) je usporádán pro nasávání chladícího vzduchu ze spolecného sacího prostoru (9) a pro jeho odvádení vne stroje, zatímco pomocný chladic (6) je opatren druhým ventilátorem (5), který je usporádán rovnež pro nasávání chladícího vzduchu ze spolecného sacího prostoru (9) a pro jeho odvádení pres motorový prostor vne stroje.
A: | The present invention is a drive unit for a ground-powered internal combustion engine driven machine, which is arranged in the engine compartment with a hood and is provided with a main cooler (7) for cooling the engine coolant and at least one auxiliary coolant, e.g. the chiller (7) is provided with a first fan and is arranged separately from the engine compartment. A common air intake space (9) is provided between the engine compartment and the main radiator, which is designed to draw air from the outside of the machine and includes a first partition (11) arranged to separate the common intake (9) from the engine compartment and a second partition ( 12). The main cooler (7) is arranged behind the second baffle (12), while the auxiliary cooler is arranged in front of the first baffle (11), wherein the first fan (8) of the main cooler (7) is arranged to draw cooling air from the common suction chamber (9) and for removing it outside the machine, while the auxiliary cooler (6) is provided with a second fan (5) which is also arranged for sucking the cooling air from the common suction chamber (9) and for discharging it through the engine compartment outside the machine. | 3 | NIv2 | task842_para_pdt_cs_en_translation | fs_opt | [
0.07538826763629913,
-0.03443334996700287,
-0.17792892456054688,
0.1443377584218979,
0.1856832355260849,
-1.0581536293029785,
0.43078404664993286,
0.7479358911514282,
0.16100314259529114,
0.07552146166563034,
-0.5923950672149658,
0.24155265092849731,
-0.4348248839378357,
0.3246327638626098... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, given a sentence in the English language, your task is to convert it into the Filipino language.
According to Assistant Secretary of State, Sean McCormack, at least one breach occurred during a training session, with a contract employee brought in to deal with a large backlog of passport applications.
Solution: Ayon sa Assistant Secretary of State, Sean McCormack, hindi bababa sa isang paglabag ang nangyari habang may sesyon sa pagsasanay, kasama ang isang kontratong empleyado para mag-ayos ng malaking pag-antala ng mga aplikasyon ng pasaporte.
Why? The above sentence is correctly translated from English to Filipino.
New input: Similarly, the Lancashire Telegraph cites 120 staff on strike at the Cardwell Place call centre and the expectation that 2,500 across the North West of England were expected to take action; Middleman is quoted describing the call centres as "the modern day equivalents of dark, satanic mills where our members are over worked, overly monitored and forced to endure an obsession with arbitrary targets".
Solution: | Binanggit din ng Lancashire Telegraph ang 120 na empleyado na nasa welga sa Cardwell Place call centre at inaasahan na 2,500 sa Hilagang Kanluran ng England ang aksiyon; binanggit si Middleman na naglalarawan sa mga call centre bilang "ang katumbas ng modernong panahon ng kadiliman, ang gilingan ni satanas kung saan ang aming mga miyembro ay sobra sa pagtatrabaho, sobrang sinusubaybayan, at pinupwersang pagtiisan ang obsesyon sa mga arbitraryong target." | 0 | NIv2 | task559_alt_translation_en_fi | fs_opt | [
0.15916696190834045,
0.017006656154990196,
-0.4885544776916504,
-0.47593963146209717,
0.46026894450187683,
0.37650784850120544,
-0.025765277445316315,
0.7099040150642395,
-0.2866296172142029,
-0.06206551566720009,
0.129691481590271,
0.3697229325771332,
-0.6333280205726624,
0.31849771738052... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating 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.
Q: Context: Analgesia and sedation, routinely used as adjunct medications for regional anesthesia, are rarely used in the pregnant patient because of concerns about adverse neonatal effects. In an effort to obtain more information about maternal analgesia and sedation we studied neonatal and maternal effects of iv fentanyl and midazolam prior to spinal anesthesia for elective Cesarean section.', 'In this double-blinded, randomized, placebo-controlled trial, 60 healthy women received either a combination of 1 microg x kg(-1) fentanyl and 0.02 mg x kg(-1) midazolam intravenously or an equal volume of iv saline at the time of their skin preparation for a bupivacaine spinal anesthetic. Sample size was based on a non-parametric power analysis (power > 0.80 and alpha = 0.05) for clinically important differences in Apgar scores. Fetal outcome measures included Apgar scores, continuous pulse oximetry for three hours, and neurobehavioural scores. Maternal outcomes included catecholamine levels, and recall of anesthesia and delivery.', 'There were no between-group differences of neonatal outcome variables (Apgar score, neurobehavioural scores, continuous oxygen saturation). Mothers in both groups showed no difference in their ability to recall the birth of their babies.
Answer: Maternal analgesia and sedation with fentanyl (1 microg x kg(-1)) and midazolam (0.02 mg x kg(-1)) immediately prior to spinal anesthesia is not associated with adverse neonatal effects.
A: | Do a single dose of fentanyl and midazolam prior to Cesarean section have no adverse neonatal effects? | 4 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.7331767678260803,
0.45817843079566956,
-0.8434224128723145,
0.06059493124485016,
0.09736669808626175,
-0.05821358412504196,
0.6622278690338135,
0.8367346525192261,
0.5319147706031799,
0.4315272271633148,
-0.6969131231307983,
0.5462507009506226,
-1.1589076519012451,
0.2635567784309387,
... |
Instructions: In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Input: who came up with the idea of daylight saving time
Output: | George Hudson | 3 | NIv2 | task582_naturalquestion_answer_generation | zs_opt | [
-0.5022693872451782,
0.7722133994102478,
0.12264252454042435,
0.22174891829490662,
-0.8050583600997925,
-0.7489573955535889,
1.0073941946029663,
0.4836852550506592,
0.3912179470062256,
-0.6297526359558105,
-0.5195052623748779,
0.06491117924451828,
-0.365257203578949,
-0.4715520441532135,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Sentence 2 contradicts sentence 1. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
[Q]: Sentence 1: A man hugs his infant in a hospital room. Sentence 2: The man hugs a baby unicorn in a tire factory.
[A]: This is the man's first son.
[Q]: Sentence 1: man in silhouette casts net into water. Sentence 2: Nobody is casting a net.
[A]: A tall person casting a net.
[Q]: Sentence 1: A bike racer in black and orange is closely followed on a racetrack by a competitor. Sentence 2: A fish is swimming in a tank.
[A]: | A race and the competitor are very close and about to reach the finish line.
| 5 | NIv2 | task185_snli_contradiction_to_neutral_text_modification | fs_opt | [
-0.45000988245010376,
0.9388958215713501,
0.15554866194725037,
-0.8182748556137085,
-0.2967328429222107,
-0.4160441756248474,
-0.06954027712345123,
0.4027501940727234,
0.31480973958969116,
-0.4480059742927551,
-0.7319474816322327,
-0.4268905222415924,
-0.5565634369850159,
0.188077539205551... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
लेकिन शाका हिज़लोप ने बकाया बचत के एक तार का उत्पादन किया, जिसमें एक मिनट 11 का समय शामिल था जब वह मार्कस एलबैक को गेंद को अपने ऊपर रखने से रोकने के लिए एक हाथ से बाहर हो गया। | But Shaka Hislop produced a string of outstanding saves, which included one 11 minutes from time when he stuck out a hand to stop Marcus Allback placing the ball over him. | 0 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.066653773188591,
0.7296947240829468,
0.3178873360157013,
-0.03887101262807846,
-0.21470436453819275,
-0.018545102328062057,
0.5918592214584351,
0.11241219937801361,
-0.3965747356414795,
-0.5045540928840637,
-0.7186607718467712,
0.08134357631206512,
-0.6278150081634521,
-0.09529159218072... |
Teacher: In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[-83, 53, -48, 8]
Solution: [-80, 50, -50, 10]
Reason: The output correctly rounds each integer in the input list to the nearest ten. So this is a good example.
Now, solve this instance: [303, 636, -708, 916, -669, 645, -920, -410, -806, -820, 277]
Student: | [300, 640, -710, 920, -670, 640, -920, -410, -810, -820, 280] | 2 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.5582427978515625,
0.16751578450202942,
-0.3254508972167969,
-0.38600075244903564,
-0.10782074928283691,
-0.5437484979629517,
1.0303394794464111,
0.27415889501571655,
-0.3774295747280121,
0.26071950793266296,
-0.25763460993766785,
-0.19242072105407715,
-0.5506930351257324,
-0.03600396215... |
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician.
Teacher: Now, understand the problem? Solve this instance: (ضحك) إذا.. لماذا هذا الشيء يستخدمه الجميع.. ويعلمون ان لا احد قد يغنيهم عن ذلك.. ما المميز في هذا ؟
Student: | (Sorrisos) Entón, como é que isto é algo que todo o mundo usa e pensan que ninguén deixará de facelo? Que ten de especial? | 6 | NIv2 | task1105_ted_translation_ar_gl | zs_opt | [
-0.7698458433151245,
1.1971216201782227,
0.03520146384835243,
-1.2521569728851318,
-0.8979206085205078,
-0.5994498133659363,
0.7276235222816467,
0.45897209644317627,
0.5763918161392212,
-0.9290027618408203,
-0.6069219708442688,
0.23052212595939636,
-0.670292854309082,
0.19692158699035645,
... |
Given a scientific passage and an answer, generate a question for the given answer.
Ex Input:
Passage: They will all blend together. The dyes will move through the water until an even distribution is achieved. The process of moving from areas of high amounts to areas of low amounts is called diffusion. Answer: diffusion
Ex Output:
The process of moving from areas of high amounts to areas of low amounts is called what?
Ex Input:
Passage: CHAPTER SUMMARY 38.1 Types of Skeletal Systems The three types of skeleton designs are hydrostatic skeletons, exoskeletons, and endoskeletons. A hydrostatic skeleton is formed by a fluid-filled compartment held under hydrostatic pressure; movement is created by the muscles producing pressure on the fluid. An exoskeleton is a hard external skeleton that protects the outer surface of an organism and enables movement through muscles attached on the inside. An endoskeleton is an internal skeleton composed of hard, mineralized tissue that also enables movement by attachment to muscles. The human skeleton is an endoskeleton that is composed of the axial and appendicular skeleton. The axial skeleton is composed of the bones of the skull, ossicles of the ear, hyoid bone, vertebral column, and ribcage. The skull consists of eight cranial bones and 14 facial bones. Six bones make up the ossicles of the middle ear, while the hyoid bone is located in the neck under the mandible. The vertebral column contains 26 bones, and it surrounds and protects the spinal cord. The thoracic cage consists of the sternum, ribs, thoracic vertebrae, and costal cartilages. The appendicular skeleton is made up of the limbs of the upper and lower limbs. The pectoral girdle is composed of the clavicles and the scapulae. The upper limb contains 30 bones in the arm, the forearm, and the hand. The pelvic girdle attaches the lower limbs to the axial skeleton. The lower limb includes the bones of the thigh, the leg, and the foot. Answer: endoskeleton
Ex Output:
Of the three types of skeleton designs - hydrostatic skeletons, exoskeletons, and endoskeletons - which do humans possess?
Ex Input:
Passage: Each organism has the ability to survive in a specific environment. Dry desert environments are difficult to live in. Desert plants have special stems and leaves to conserve water. Animals have other ways to live in the desert. The Namib Desert receives only 1.5 inches of rainfall each year. The Namib Desert beetle lives there. How do the beetles get enough water to survive? Early morning fog deposits water droplets. The droplets collect on a beetle's wings and back. The beetle tilts its rear end up. When the droplet is heavy enough, it slides forward. It lands in the beetle’s mouth. There are many other environments that need unique approaches for survival ( Figure below ). Answer: water
Ex Output:
| Desert plants have special stems and leaves to conserve what?
| 1 | NIv2 | task594_sciq_question_generation | fs_opt | [
0.2723959982395172,
0.12480699270963669,
-0.6972013115882874,
0.3556365370750427,
0.16366104781627655,
-0.5741775035858154,
-0.04925166815519333,
0.6939324140548706,
0.11089769005775452,
0.028478391468524933,
-0.15601736307144165,
0.6186696887016296,
-0.7174612879753113,
0.0255383737385272... |
Teacher:Given a scientific passage and an answer, generate a question for the given answer.
Teacher: Now, understand the problem? Solve this instance: Passage: Many quantities can be expressed in several different ways. The English system measurement of 4 cups is also equal to 2 pints, 1 quart, and ¼ of a gallon. Answer: 4 cups
Student: | According to the english system measurement, how much is equal to 2 pints, 1 quart, and ¼ of a gallon? | 6 | NIv2 | task594_sciq_question_generation | zs_opt | [
0.2192240208387375,
1.552893877029419,
0.31366613507270813,
-0.5709390640258789,
0.3263862133026123,
-1.3524832725524902,
-0.2713722586631775,
0.4499385356903076,
0.09453080594539642,
-0.6195600032806396,
0.21049565076828003,
0.19533312320709229,
-0.5725045204162598,
-0.31821855902671814,
... |
Teacher:The input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the other-need strategy, otherwise output No. other-need is a selfish negotiation strategy. It is used when the participants discuss a need for someone else rather than themselves. For instance, describing the need for firewood to keep the kids warm.
Teacher: Now, understand the problem? Solve this instance: Context: 'Oh, that won't really work for me. I was hoping to get extra food and water for this trip since I need water to take medication and would love the food to plan a special meal. I'd like say, 2 food, 3 water and 1 firewood' 'I could give you 2 food, if I could have 3 firewood and 2 water' 'Hmm, how about I take 2 food and 2 water and you can have all the firewood?'
Utterance: 'This is fair, but I do not have any use for much firewood. I could give you 2 firewood, 2 water and 1 food'
Student: | No | 6 | NIv2 | task355_casino_classification_negotiation_other_need | zs_opt | [
0.12718506157398224,
0.28079283237457275,
-0.2438884675502777,
-0.12571129202842712,
-0.5938315391540527,
-1.3002328872680664,
0.5362324714660645,
0.9156025052070618,
-0.4780358374118805,
0.22730517387390137,
0.2864625155925751,
-0.26170092821121216,
-1.1708149909973145,
-0.282441496849060... |
Part 1. Definition
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
Part 2. Example
[73, 30, 71, 47, -65, 50, -90, -60]
Answer: 163
Explanation: The maximum absolute difference is 163 because '|-90 - 73| = 163' which is the maximum possible absolute difference. So this is a good example.
Part 3. Exercise
[-87, -59, -32, -52]
Answer: | 55 | 7 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.08001826703548431,
0.14998286962509155,
0.1617884635925293,
-0.1222715973854065,
0.1032574325799942,
-0.15567144751548767,
0.2833620309829712,
0.3787444531917572,
0.7234625816345215,
-0.297787070274353,
-0.36670982837677,
-0.20845675468444824,
-0.7157909870147705,
0.008810242637991905,
... |
Instructions: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Input: Context: Willie Perdomo is a prize - winning Puerto Rican poet and children 's book author . He is the author of The Essential Hits of Shorty Bon Bon ( Penguin Poets , 2014 ) , a National Book Critics Circle Awards finalist , Where a Nickel Costs a Dime ( W. W. Norton & Company , a Poetry Society of America Norma Farber First Book Award finalist , 1996 ) , Postcards of El Barrio ( Isla Negra Press , 2002 ) , and Smoking Lovely ( Rattapallax Press , 2003 ) , which received a PEN Beyond Margins Award . His children 's book , Visiting Langston , received the Coretta Scott King Honor . Perdomo was also the recipient of a New York Foundation for the Arts Poetry Fellowship in 2001 and 2009 . He is a Pushcart Prize nominee , and recently was a Woolrich Fellow in Creative Writing at Columbia University . He is co-founder / publisher of Cypher Books , a VONA / Voices faculty member , and is currently an Instructor in English at Phillips Exeter Academy ., Rita Frances Dove (born August 28, 1952) is an American poet and essayist. From 1993 to 1995 she served as Poet Laureate Consultant in Poetry to the Library of Congress. She is the first African-American to have been appointed since the position was created by an act of Congress in 1986 from the previous "consultant in poetry" position (193786). Dove also received an appointment as "special consultant in poetry" for the Library of Congress's bicentennial year from 1999 to 2000. Dove is the second African American to receive the Pulitzer Prize for Poetry, in 1987, and she served as the Poet Laureate of Virginia from 2004 to 2006., Phillips Exeter Academy is a coeducational independent school for boarding and day students between the 9th and 12th grade. It is located in Exeter, New Hampshire, and is one of the oldest secondary schools in the United States. It is particularly noted for its innovation and application of Harkness education, a system based on a conference format of teacher and student interaction, similar to the Socratic method of learning through asking questions and creating discussions. , The City of New York, often called New York City or simply New York, is the most populous city in the United States. With an estimated 2015 population of 8,550,405 distributed over a land area of just , New York City is also the most densely populated major city in the United States. Located at the southern tip of the state of New York, the city is the center of the New York metropolitan area, one of the most populous urban agglomerations in the world. A global power city, New York City exerts a significant impact upon commerce, finance, media, art, fashion, research, technology, education, and entertainment, its fast pace defining the term "New York minute". Home to the headquarters of the United Nations, New York is an important center for international diplomacy and has been described as the cultural and financial capital of the world., Marianne Craig Moore (November 15, 1887 February 5, 1972) was an American Modernist poet, critic, translator, and editor. Her poetry is noted for formal innovation, precise diction, irony, and wit., Norma Holzmann Farber (6 August 1909 21 March 1984) was an American children's book writer and poet. The Poetry Society of America presents the Norma Farber First Book Award; it is presented for a first book of original poetry written by an American., Coretta Scott King (April 27, 1927 January 30, 2006) was an American author, activist, civil rights leader, and the wife of Martin Luther King, Jr. from 1953 until his death in 1968. Coretta Scott King helped lead the African-American Civil Rights Movement in the 1960s. King was an active advocate for African-American equality. King met her husband while in college, and their participation escalated until they became central to the movement. In her early life, Coretta was an accomplished singer, and she often incorporated music into her civil rights work., The Pushcart Prize is an American literary prize published by Pushcart Press that honors the best "poetry, short fiction, essays or literary whatnot" published in the small presses over the previous year. Magazine and small book press editors are invited to submit up to six works they have featured. Anthologies of the selected works have been published annually since 1976., The Association of American Universities (AAU) is an international organization of leading research universities devoted to maintaining a strong system of academic research and education. It consists of 60 universities in the United States (both public and private) and two universities in Canada., The Poetry Society of America is a literary organization founded in 1910 by poets, editors, and artists including Witter Bynner. It is the oldest poetry organization in the United States. Past members of the society have included such renowned writers as Robert Frost, Langston Hughes, Edna St. Vincent Millay, Marianne Moore, and Wallace Stevens. Current members include John Ashbery, Louise Glück, Rita Dove, Stanley Kunitz, Robert Pinsky, Molly Peacock, Billy Collins and James Tate. , Columbia University (officially Columbia University in the City of New York) is a private Ivy League research university in Upper Manhattan, New York City. It was established in 1754 as King's College by royal charter of George II of Great Britain. Columbia is the oldest college in the state of New York and the fifth chartered institution of higher learning in the country, making it one of nine colonial colleges founded before the Declaration of Independence. After the American Revolutionary War, King's College briefly became a state entity, and was renamed Columbia College in 1784. A 1787 charter placed the institution under a private board of trustees before it was renamed Columbia University in 1896 when the campus was moved from Madison Avenue to its current location in Morningside Heights occupying of land. Columbia is one of the fourteen founding members of the Association of American Universities, and was the first school in the United States to grant the M.D. degree., Stanley Jasspon Kunitz (July 29, 1905May 14, 2006) was an American poet. He was appointed Poet Laureate Consultant in Poetry to the Library of Congress twice, first in 1974 and then again in 2000., Madison Avenue is a north-south avenue in the borough of Manhattan in New York City, United States, that carries northbound one-way traffic. It runs from Madison Square (at 23rd Street) to meet the southbound Harlem River Drive at 142nd Street. In doing so, it passes through Midtown, the Upper East Side (including Carnegie Hill), East Harlem, and Harlem. It is named after and arises from Madison Square, which is itself named after James Madison, the fourth President of the United States. , William James "Billy" Collins (born March 22, 1941) is an American poet, appointed as Poet Laureate of the United States from 2001 to 2003. He is a Distinguished Professor at Lehman College of the City University of New York and is the Senior Distinguished Fellow of the Winter Park Institute, Florida. Collins was recognized as a Literary Lion of the New York Public Library (1992) and selected as the New York State Poet for 2004 through 2006. As of 2015, he is a teacher in the MFA program at Stony Brook Southampton., The American Revolution was a political upheaval that took place between 1765 and 1783 during which colonists in the Thirteen American Colonies rejected the British monarchy and aristocracy, overthrew the authority of Great Britain, and founded the United States of America., A royal charter is a formal document issued by a monarch as letters patent, granting a right or power to an individual or a body corporate. They were, and are still, used to establish significant organisations such as cities (with municipal charters) or universities and learned societies. Charters should be distinguished from warrants and letters of appointment, as they have perpetual effect. Typically, a Royal Charter is produced as a high-quality work of calligraphy on vellum. The British monarchy has issued over 980 royal charters. Of these about 750 remain in existence. The earliest was to the town of Tain in 1066, making it the oldest Royal Burgh in Scotland, followed by the University of Cambridge in 1231. Charters continue to be issued by the British Crown, a recent example being that awarded to the Chartered Institute for the Management of Sport and Physical Activity, on 7 April 2011., George II (George Augustus 30 October / 9 November 1683 25 October 1760) was King of Great Britain and Ireland, Duke of Brunswick-Lüneburg (Hanover) and Prince-elector of the Holy Roman Empire from 11 June 1727 (O.S.) until his death., Harold Witter Bynner, also known by the pen name Emanuel Morgan (August 10, 1881 June 1, 1968) was an American poet, writer and scholar, known for his long residence in Santa Fe, New Mexico, and association with other literary figures there., Molly Peacock (born Buffalo, New York 1947) is an American-Canadian poet, essayist, biographer and speaker, whose multi-genre literary life also includes memoir, short fiction, and a one-woman show., James Mercer Langston Hughes (February 1, 1902 May 22, 1967) was an American poet, social activist, novelist, playwright, and columnist from Joplin, Missouri., Edna St. Vincent Millay (February 22, 1892 October 19, 1950) was an American poet and playwright. She received the Pulitzer Prize for Poetry in 1923, the third woman to win the award for poetry, and was also known for her feminist activism. She used the pseudonym Nancy Boyd for her prose work. The poet Richard Wilbur asserted, "She wrote some of the best sonnets of the century.", Socratic method, also known as maieutics, method of elenchus, elenctic method, or Socratic debate, is a form of cooperative argumentative dialogue between individuals, based on asking and answering questions to stimulate critical thinking and to draw out ideas and underlying presumptions. It is a dialectical method, often involving a discussion in which the defense of one point of view is questioned; one participant may lead another to contradict themselves in some way, thus weakening the defender's point. This method is named after the classical Greek philosopher Socrates and is introduced by him in Plato's Theaetetus as midwifery (maieutics) because it is employed to bring out definitions implicit in the interlocutors' beliefs, or to help them further their understanding., Louise Elisabeth Glück (born April 22, 1943) is an American poet. She was appointed Poet Laureate Consultant in Poetry to the Library of Congress in 2003, after serving as a Special Bicentennial Consultant three years prior in 2000. She won the National Book Award for Poetry in 2014 for "Faithful and Virtuous Night". , The American Revolutionary War (17751783), also referred to as the American War of Independence and the Revolutionary War in the United States, was an armed conflict between Great Britain and thirteen of its North American colonies that after onset of the war declared independence as the United States of America., Robert Pinsky (born October 20, 1940) is an American poet, essayist, literary critic, and translator. From 1997 to 2000, he served as Poet Laureate Consultant in Poetry to the Library of Congress. Pinsky is the author of nineteen books, most of which are collections of his poetry. His published work also includes critically acclaimed translations, including "The Inferno" of Dante Alighieri and "The Separate Notebooks" by Czesaw Miosz. He teaches at Boston University., A small press is a publisher with annual sales below a certain level. Commonly, in the United States, this is set at $50 million, after returns and discounts. Small presses are also defined as those that publish an average of fewer than 10 titles per year, though there are a few who manage to do more., Wallace Stevens (October 2, 1879 August 2, 1955) was an American Modernist poet. He was born in Reading, Pennsylvania, educated at Harvard and then New York Law School, and he spent most of his life working as an executive for an insurance company in Hartford, Connecticut. He won the Pulitzer Prize for Poetry for his "Collected Poems" in 1955., John Lawrence Ashbery (born July 28, 1927) is an American poet. He has published more than twenty volumes of poetry and won nearly every major American award for poetry, including a Pulitzer Prize in 1976 for his collection "Self-Portrait in a Convex Mirror". Renowned for its postmodern complexity and opacity, Ashbery's work still proves controversial. Ashbery has stated that he wishes his work to be accessible to as many people as possible, and not to be a private dialogue with himself. At the same time, he once joked that some critics still view him as "a harebrained, homegrown surrealist whose poetry defies even the rules and logic of Surrealism.", The Ivy League is a collegiate athletic conference comprising sports teams from eight private institutions of higher education in the Northeastern United States. The conference name is also commonly used to refer to those eight schools as a group beyond the sports context. The eight institutions are Brown University, Columbia University, Cornell University, Dartmouth College, Harvard University, the University of Pennsylvania, Princeton University, and Yale University. The term "Ivy League" has connotations of academic excellence, selectivity in admissions, and social elitism., The Norma Farber First Book Award is given by the Poetry Society of America "for a first book of original poetry written by an American and published in either a hard or soft cover in a standard edition during the calendar year"., Robert Lee Frost (March26, 1874January29, 1963) was an American poet. His work was initially published in England before it was published in America. He is highly regarded for his realistic depictions of rural life and his command of American colloquial speech. His work frequently employed settings from rural life in New England in the early twentieth century, using them to examine complex social and philosophical themes. One of the most popular and critically respected American poets of the twentieth century, Frost was honored frequently during his lifetime, receiving four Pulitzer Prizes for Poetry. He became one of America's rare "public literary figures, almost an artistic institution." He was awarded the Congressional Gold Medal in 1960 for his poetic works. On July 22, 1961, Frost was named poet laureate of Vermont., Pushcart Press is a publishing house established in 1972 by Bill Henderson (a one-time associate editor at Doubleday) and is perhaps most famous for its Pushcart Prize and for the anthology of prize winners it publishes annually. The press has been honored by Publishers Weekly as one of the USA's "most influential publishers" with the 1979 Carey Thomas Prize for publisher of the year. It has also won the 2005 Lifetime Achievement Award from the National Book Critics Circle and the 2006 Poets & Writers/Barnes & Noble Writers for Writers Prize., Subject: willie perdomo, Relation: occupation, Options: (A) academic (B) activist (C) author (D) biographer (E) book (F) canada (G) duke (H) editor (I) entertainment (J) fashion (K) king (L) leader (M) literary (N) literary critic (O) major (P) monarch (Q) new york law school (R) noble (S) philosopher (T) playwright (U) poet (V) president (W) publisher (X) research (Y) revolutionary (Z) sales ([) student (\) teacher (]) united states of america (^) writer
Output: | writer | 3 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.3112031817436218,
0.2897038161754608,
0.06564938277006149,
-0.11433053016662598,
0.8192612528800964,
-0.4409751892089844,
0.294347882270813,
0.7316985726356506,
0.10438838601112366,
0.09555565565824509,
0.1033051609992981,
0.5191180109977722,
-0.8747967481613159,
0.061936914920806885,
... |
In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
[[-30, 27], [27, -36, 18, -10, 1], [-37, -31], [19, 46, -47], [17, 15, -21, 40, 3]]
[-810, 174960, 1147, -41078, -642600]
[[-12, 25], [28, -30], [-20, 11, 4], [-12, 12]]
[-300, -840, -880, -144]
[[27, -32, 33], [2, -14], [11, 40, -21, 19, 24], [37, 20], [-14, -41, 42], [-17, -41], [-19, -40], [48, -5, -50, 31], [20, -33, 11, 42]]
| [-28512, -28, -4213440, 740, 24108, 697, 760, 372000, -304920]
| 0 | NIv2 | task371_synthetic_product_of_list | fs_opt | [
-0.6285502314567566,
-0.14105190336704254,
-0.7860023975372314,
-0.25912219285964966,
0.06737940013408661,
-0.8495497703552246,
1.4202238321304321,
0.3031180500984192,
-0.5902888774871826,
-0.20624977350234985,
-0.9855223298072815,
0.17847898602485657,
-0.8610536456108093,
-0.2751858234405... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
--------
Question: Comment: Substantive? Hillary? Shes too busy shutting down the Clinton Global Initiative. Guess all those children in Africa with AIDS don't matter anymore.
Answer: Non-threat
Question: Comment: Now the part will have an excuse to start shooting and poisoning them again.
Answer: Threat
Question: Comment: Let the concealment stop right now. $16 billion is the mumber. Why the heck are we talking about the Mayor concealing budget items when everyone is throwing out an $8 billion cost? Look at the darned spreadsheet in this online article. It's uses are at $16 billion+, it's sources are $15 billion+. Those are the true project costs. Do not ever help spread the lie we are looking at an $8+ billion rail project. Call it what it is. $16 billion and climbing. We never EVER isolate build costs unless it's all equity and there is no debt cost.
Answer: | Non-threat
| 7 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.07827350497245789,
0.4518582224845886,
0.27342790365219116,
0.32011640071868896,
-0.30115312337875366,
-0.3447808623313904,
0.06375003606081009,
0.9774543642997742,
0.4880024492740631,
-0.36916834115982056,
0.19025084376335144,
0.20472490787506104,
-0.05201106145977974,
-0.6595899462699... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.
Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Question : What was Isaac Nicola's city of birth?
Solution: place of birth
Why? The question is about the place of birth of the Isaac Nicola. Hence the output is relevant and valid
New input: Context : The Race to Urga is a musical theatre play, started in 1968 as an adaptation of the Bertolt Brecht play The Exception and the Rule, with the project soon renamed to A Pray by Blecht.
Question : Which is the basis of The Race to Urga?
Solution: | based on | 0 | NIv2 | task1328_qa_zre_relation_generation_from_question | fs_opt | [
0.2861369252204895,
0.12641766667366028,
-0.018875475972890854,
-0.21407648921012878,
0.22241920232772827,
0.005719090811908245,
0.23194342851638794,
0.6847949028015137,
-0.1055891290307045,
0.09743238985538483,
0.3873187303543091,
0.5040667653083801,
-0.9557849168777466,
-0.10701841115951... |
Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
Understanding the underlying molecular mechanisms in burn wound progression is crucial to providing appropriate diagnoses and designing therapeutic regimens for burn patients. When inflammation becomes unregulated, recurrent, or excessive, it interferes with burn wound healing. Autophagy, which is a homeostatic and catabolic degradation process, was found to protect against ischemic injury, inflammatory diseases, and apoptosis in some cases. In the present study, we investigated whether far-infrared (FIR) could ameliorate burn wound progression and promote wound healing both in vitro and in a rat model of deep second-degree burn. We found that FIR induced autophagy in differentiated THP-1 cells (human monocytic cells differentiated to macrophages). Furthermore, FIR inhibited both the NLRP3 inflammasome and the production of IL-1β in lipopolysaccharide-activated THP-1 macrophages. In addition, FIR induced the ubiquitination of ASC, which is the adaptor protein of the inflammasome, by increasing tumor necrosis factor receptor-associated factor 6 (TRAF6), which is a ubiquitin E3 ligase. Furthermore, the exposure to FIR then promoted the delivery of inflammasome to autophagosomes for degradation. In a rat burn model, FIR ameliorated burn-induced epidermal thickening, inflammatory cell infiltration, and loss of distinct collagen fibers. Moreover, FIR enhanced autophagy and suppressed the activity of the NLRP3 inflammasome in the rat skin tissue of the burn model. Based on these results, we suggest that FIR-regulated autophagy and inflammasomes will be important for the discovery of novel therapeutics to promote the healing of burn wounds. | 0 | 0 | NIv2 | task848_pubmedqa_classification | zs_opt | [
0.22728556394577026,
0.15935929119586945,
-0.4879547953605652,
0.42394524812698364,
0.282392680644989,
-0.3825923502445221,
1.0183513164520264,
0.882036030292511,
-0.10215069353580475,
0.9656549096107483,
-0.34782373905181885,
-0.25349968671798706,
-1.0553293228149414,
0.2540074288845062,
... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Q: drew barrymore
A: | What was the name of Drew Barrymore's character in E.T.? | 4 | NIv2 | task897_freebase_qa_topic_question_generation | zs_opt | [
0.5153646469116211,
0.3828542232513428,
-0.3865673542022705,
-0.6129432916641235,
-0.41654253005981445,
-0.1527765691280365,
0.9188162684440613,
-0.7003626227378845,
1.0156036615371704,
-0.5715047121047974,
-0.57453453540802,
-0.3708633482456207,
-1.567047119140625,
0.005498621147125959,
... |
instruction:
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
question:
[23, 91, 159, 152]
answer:
[23, 91, 159]
question:
[86, 54, 175, 122, 145, 184, 108, 116]
answer:
[175, 145]
question:
[122, 30, 112]
answer:
| []
| 9 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.8304635286331177,
0.4378654360771179,
-0.12053846567869186,
-0.7323015928268433,
0.019485270604491234,
-0.226629838347435,
0.8630599975585938,
0.32709801197052,
-0.7004389762878418,
0.5873515605926514,
-0.7820695638656616,
0.24963417649269104,
-0.031606242060661316,
-0.4080151319503784,... |
Definition: In this task, you will be shown a sentence, and you should determine whether it is overruling or non-overruling. In law, an overruling sentence is a statement that nullifies a previous case decision as a precedent by a constitutionally valid statute or a decision by the same or higher ranking court which establishes a different rule on the point of law involved. Classify your answers into overruling or non-overruling
Input: as such, la.civ. code art. 2365 is not applicable to the matter before us, and we specifically overrule this holding in nash.
Output: | overruling | 2 | NIv2 | task274_overruling_legal_classification | zs_opt | [
-0.4366576671600342,
0.7021571397781372,
0.5093173980712891,
-0.043239038437604904,
-0.29788798093795776,
-0.565239429473877,
0.587658166885376,
0.6387361288070679,
0.21903741359710693,
-0.41555142402648926,
-0.8406720161437988,
-0.5067813396453857,
-0.7447372078895569,
-0.1923299431800842... |
instruction:
In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return the output in this format: 1 - category of sentence 1, 2 - category of sentence 2, ..., n - category of sentence n; where each number indicates the order of the sentence. The categories can be identified using the following questions:
Background: - Why is this problem important? - What relevant works have been done before? - What did the previous works miss? - What are the high-level research questions? - How might this help other researchers?
Purpose: - What specific things do the researchers want to do? - What specific knowledge do the researchers want to know? - What specific hypothesis do the researchers want to test?
Method: - How did the researchers do it or find it out? - What are the procedures and steps of this research?
Finding/Contribution: - What did the researchers find out? Did the proposed methods work? - Did things behave as the researchers expected?
Other: put every text fragment that does not fit into any of the categories above here. Put a sentence here if its not in English, is not part of the article, contains numbers and dates, is a caption of a figure or a table, is a formatting error, or you are not sure about it.
question:
Background: Despite current knowledge of mutations in 45 genes that can cause nonsyndromic sensorineural hearing loss (SNHL), no unified clinical test has been developed that can comprehensively detect mutations in multiple genes. We therefore designed Affymetrix resequencing microarrays capable of resequencing 13 genes mutated in SNHL (GJB2, GJB6, CDH23, KCNE1, KCNQ1, MYO7A, OTOF, PDS, MYO6, SLC26A5, TMIE, TMPRSS3, USH1C). We present results from hearing loss arrays developed in two different research facilities and highlight some of the approaches we adopted to enhance the applicability of resequencing arrays in a clinical setting. Results: We leveraged sequence and intensity pattern features responsible for diminished coverage and accuracy and developed a novel algorithm, sPROFILER, which resolved >80% of no-calls from GSEQ and allowed 99.6% (range: 99.2-99.8%) of sequence to be called, while maintaining overall accuracy at >99.8% based upon dideoxy sequencing comparison. Conclusions: Together, these findings provide insight into critical issues for disease-centered resequencing protocols suitable for clinical application and support the use of array-based resequencing technology as a valuable molecular diagnostic tool for pediatric SNHL and other genetic diseases with substantial genetic heterogeneity.
answer:
1 - background, 2 - background, 3 - method, 4 - method, 5 - finding, 6 - finding, 7 - finding, 8 - finding
question:
Geo-social interaction patterns Geo-social scale Location-based social network Agent-based epidemic models Social network analysis Infectious disease transmission and control High performance computing A B S T R A C T Cities play an important role in fostering and amplifying the transmission of airborne diseases (e.g., influenza) because of dense human contacts. Before an outbreak of airborne diseases within a city, how to determine an appropriate containment area for effective vaccination strategies is unknown. This research treats airborne disease spreads as geo-social interaction patterns, because viruses transmit among different groups of people over geographical locations through human interactions and population movement. Previous research argued that an appropriate scale identified through human geo-social interaction patterns can provide great potential for effective vaccination. However, little work has been done to examine the effectiveness of such vaccination at large scales (e.g., city) that are characterized by spatially heterogeneous population distribution and movement. This article therefore aims to understand the impact of geo-social interaction patterns on effective vaccination in the urbanized area of Portland, Oregon. To achieve this goal, we simulate influenza transmission on a large-scale location-based social network to 1) identify human geo-social interaction patterns for designing effective vaccination strategies, and 2) and evaluate the efficacy of different vaccination strategies according to the identified geo-social patterns. The simulation results illustrate the effectiveness of vaccination strategies based on geosocial interaction patterns in containing the epidemic outbreak at the source. This research can provide evidence to inform public health approaches to determine effective scales in the design of disease control strategies.
answer:
1 - background, 2 - background, 3 - background, 4 - background, 5 - background, 6 - background, 7 - background, 8 - purpose, 9 - method, 10 - method, 11 - finding, 12 - finding
question:
Public Health jo urnal homepage: www .e lse vi er.co m/ pu he p u b l i c h e a l t h 1 5 0 ( 2 0 1 7 ) 8 7 e9 2.
answer:
| 1 - other, 2 - other
| 9 | NIv2 | task352_coda-19_classification | fs_opt | [
-0.11057230830192566,
0.49183517694473267,
-0.07092058658599854,
-0.6343302726745605,
0.7603569030761719,
-0.07805520296096802,
0.7233229875564575,
0.8689210414886475,
-0.14277252554893494,
0.22852542996406555,
-0.6130214929580688,
0.5872180461883545,
-0.66181480884552,
0.10587800294160843... |
Teacher:In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
Teacher: Now, understand the problem? Solve this instance: 2, ['8059', '8245', '4237', 'v', 's', 'H', '9139', '5693', 'j', 'p', '9115', 'X', '1721', 'Q', 'n', 'Q', '2999', '7179', 'u', 'E', 'P', '9553', 'b']
Student: | 8059, 8245 | 6 | NIv2 | task063_first_i_elements | zs_opt | [
-0.5537037253379822,
0.22720949351787567,
-0.32195237278938293,
-0.40495240688323975,
-0.6225080490112305,
-0.40281373262405396,
0.14519840478897095,
0.24208064377307892,
0.08265118300914764,
-0.1515572965145111,
-0.8200031518936157,
-0.24081692099571228,
0.010154228657484055,
-0.453053653... |
You will be given a definition of a task first, then some input of the task.
In this task, we ask you to elaborate the sentence without changing its general meaning. You can do so by explaining further the input sentence, using more precise wording, adding qualifiers and auxiliary information etc.
The Royal Standard of Scotland , , also known as the Banner of the King of Scots , or more commonly the Lion Rampant of Scotland , is the Scottish Royal Banner of Arms .
Output: | The Royal Banner of the Royal Arms of Scotland , also known as the Royal Banner of Scotland , or more commonly the Lion Rampant of Scotland , and historically as the Royal Standard of Scotland , or Banner of the King of Scots , is the Royal Banner of Scotland , and historically , the Royal Standard of the Kingdom of Scotland . | 1 | NIv2 | task955_wiki_auto_style_transfer | zs_opt | [
-0.12188919633626938,
1.1652376651763916,
-0.5448617935180664,
-0.6245314478874207,
0.17201821506023407,
-1.0465331077575684,
-0.15674681961536407,
0.6008455753326416,
-0.27267301082611084,
-0.3140220046043396,
0.11837910860776901,
0.7400155663490295,
-0.8617904186248779,
0.063094936311244... |
Q: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
We can share the bathroom in this reception room while we are here .
A: | We can share the bathroom in this house room while we are here . | 7 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
0.08987784385681152,
1.2609567642211914,
-0.3893646001815796,
-0.2849646210670471,
-0.09546519070863724,
-1.3097386360168457,
-0.3086746335029602,
0.6012619733810425,
0.4899313449859619,
-0.062007419764995575,
-0.27403178811073303,
0.4969930946826935,
-0.5753195285797119,
0.192805022001266... |
In this task, you will be given two sentences sentence1 and sentence2. You should decide whether the second sentence is entailed(agreed) by the first sentence. If it does entail, answer "yes", else answer "no".
Ex Input:
sentence1:organization_founder is president of location sentence1:organization_founder is president of location
Ex Output:
yes
Ex Input:
sentence1:location is ceded to region sentence1:location is being occupied by region
Ex Output:
yes
Ex Input:
sentence1:employer is pushing for employer sentence1:employer is pushing employer
Ex Output:
| no
| 1 | NIv2 | task970_sherliic_causal_relationship | fs_opt | [
-0.5963454246520996,
0.48481056094169617,
0.3754584789276123,
-0.5046836137771606,
-0.2899976074695587,
-0.40047532320022583,
-0.1292973756790161,
0.3976697027683258,
0.733371913433075,
-0.10840410739183426,
-0.4902249574661255,
-0.46752068400382996,
-0.5681023597717285,
-0.331690788269042... |
Detailed Instructions: In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5.
Q: Sentence: 'adults and children standing in the street by a commercial passenger van'. Reverse all words of length '10' in the given sentence.
A: | adults and children standing in the street by a laicremmoc passenger van | 9 | NIv2 | task378_reverse_words_of_given_length | zs_opt | [
0.03425343334674835,
0.03987574577331543,
-0.02604770101606846,
-0.7384762763977051,
-0.4243979752063751,
-0.13728535175323486,
0.5158141851425171,
0.26912716031074524,
0.4991675019264221,
-0.2741354703903198,
-1.0243695974349976,
-0.13657146692276,
-0.3684084713459015,
-0.2298617660999298... |
Q: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
I_TURN_RIGHT I_WALK I_TURN_RIGHT I_TURN_RIGHT I_WALK
A: | walk right and walk opposite right | 7 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.2942882776260376,
1.0014084577560425,
-0.4215906262397766,
0.20479102432727814,
-0.07337136566638947,
0.16216535866260529,
0.08742675185203552,
0.6327519416809082,
-0.45869117975234985,
-0.21161693334579468,
-0.6571581363677979,
-0.34980636835098267,
-0.8073813915252686,
-0.0791005715727... |
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
--------
Question: Thank you for your time. Have a great day!
Answer: user
Question: What are the demographics like?
Answer: user
Question: Oh that sounds beautiful. Do they have massive mountains there?
Answer: | user
| 7 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.5434674024581909,
0.2737969756126404,
-0.12177521735429764,
-0.6290053725242615,
-0.7619036436080933,
-0.015038575977087021,
0.9947463274002075,
-0.7232701778411865,
0.7007866501808167,
-0.6357222199440002,
-0.7334100008010864,
-0.417853444814682,
-0.19631700217723846,
-0.15417146682739... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Princes, Paris, France.
Output: 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。
The Filipino sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.
New input case for you: Isang pagtitipon ng internet, na ipinatakbo ng hindi pangkalakal na Epilepsy Foundation, ay sinalakay ng isang pangkat ng mga taong mapanira noong nakaraang linggo.
Output: | 非営利の癲癇財団によって開催されたインターネットフォーラムは、心ない破壊者の一団によって先週攻撃された。 | 1 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
0.047330163419246674,
0.43349936604499817,
-0.6843622922897339,
0.3096335828304291,
-0.0028190379962325096,
-0.2394896298646927,
0.7689862847328186,
0.39184504747390747,
-0.06516996771097183,
-0.601777970790863,
-1.0458810329437256,
1.1224424839019775,
-0.41692590713500977,
0.3521419465541... |
Teacher:Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': Period symbol is used for symbols denoting Punctuations/Separations such as comma, period, backticks etc.,
'ADJ': Adjectives are words that typically modify nouns and specify their properties or attributes,
'ADP': Adposition is a cover term for prepositions and postpositions,
'ADV': Adverbs are words that typically modify verbs for such categories as time, place, direction or manner,
'CONJ': A word used to connect clauses or sentences or to coordinate words in the same clause,
'DET': Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context,
'NOUN': Nouns are a part of speech typically denoting a person, place, thing, animal or idea,
'NUM': A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction,
'PRT': Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech,
'PRON': Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context,
'PROPN': A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object,
'VERB': A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause,
'X': The tag X is used for words that for some reason cannot be assigned a real part-of-speech category.
Teacher: Now, understand the problem? Solve this instance: Sentence: They found students in an advanced class a year earlier who *T*-95 said 0 she gave them similar help , although because the case was n't tried in {{ court }} , this evidence was never presented *-1 publicly .
Word: court
Student: | NOUN | 6 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.5055766105651855,
0.0777251198887825,
-0.1759454607963562,
0.10687541216611862,
-0.09429949522018433,
-0.7519088983535767,
0.5565004348754883,
0.7283074259757996,
-0.24041196703910828,
-0.11678660660982132,
-0.5565668940544128,
0.06842777878046036,
-0.5381141304969788,
0.1322056055068969... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Q: دو خانم ، باهم مشاجره دارند
A: | Dúas mulleres xuntas teñen unha discusión | 9 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-0.635093092918396,
1.2715277671813965,
-0.2848796844482422,
-0.9035612940788269,
0.23867319524288177,
-0.6107610464096069,
-0.3120298385620117,
0.8329178094863892,
1.0982730388641357,
0.22589121758937836,
-0.4061877727508545,
0.3559618294239044,
-0.2781772315502167,
0.0195189006626606,
... |
Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be instances where direct correlation to the claim is not available. Make use of the sentences in the paragraph to provide a corresponding output supporting the claim. 3) The explanation should be at least one and at most twelve sentences long.
Q: Paragraph: Researchers from the University of Glasgow reported the results in the New England Journal of Medicine on Monday. They compared the causes of death of 7,676 Scottish men who played soccer with 23,000 similar men from the general population born between 1900 and 1976. Over a median of 18 years of study, 1,180 players and 3,807 of the others died. The players had a lower risk of death from any cause until age 70. However, they had a 3.5 times higher rate of death from neurodegenerative diseases such as Alzheimer’s or Parkinson’s. In absolute terms, that risk remained relatively small — 1.7% among former players and 0.5% for the comparison group. Former players also were more likely to be prescribed dementia medicines than the others were. The results “should not engender undue fear and panic,” Dr. Robert Stern, a Boston University scientist who has studied sports-related brain trauma, wrote in a commentary published in the journal. The findings in professional players may not apply to recreational, college or amateur-level play, or to women, Stern noted. “Parents of children who headed the ball in youth or high-school soccer should not fear that their children are destined to have cognitive decline and dementia later in life. Rather, they should focus on the substantial health benefits from exercise and participation in a sport that their children enjoy,” while also being aware of the risks of head-balling, Stern wrote. English Football Association chairman Greg Clark said “the whole game must recognize that this is only the start of our understanding and there are many questions that still need to be answered. It is important that the global football family now unites to find the answers and provide a greater understanding of this complex issue.” The association and players’ union sponsored the study. “We need to kick on now and understand what it means, because that’s all an awful lot we don’t know,” English FA chief executive Mark Bullingham said. “We don’t know if concussion was the cause or whether it was heading or whatever or whether it’s the old heavy ball or something entirely different.” But the association’s medical advisory group has not deemed it necessary to issue to change how the game is played, even reducing heading among younger age groups. “In youth football, you might want to reduce the likelihood of aerial challenges,” Bullingham said. “But our research shows this has already been reduced significantly over the years as we change to small size of pitches, move to possession-based football and now rolling substitutes.” Referees across all levels can stop games for three minutes to fully assess head injuries, but some experts believe that is not long enough. The English FA also is pushing soccer’s global lawmaking body for the introduction of concussion substitutes, with an additional player switch or as a temporary replacement. Campaigning to discover more about the long-term impact of head injuries in soccer has been led in England by the family of former England striker Jeff Astle, whose death at age 59 in 2002 was attributed to repeatedly heading heavy, leather balls. In 2017, a British study of brains of a small number of retired players who developed dementia highlighted the degenerative damage possibly caused by repeated blows to the head. ___ AP Chief Medical Writer Marilynn Marchione in Milwaukee contributed to this report. ___ The Associated Press Health and Science Department receives support from the Howard Hughes Medical Institute’s Department of Science Education. The AP is solely responsible for all content. ___ More AP soccer: https://apnews.com/Soccer and https://twitter.com/AP_Sports Claim: Study raises fresh dementia concerns from playing pro soccer.
A: A study of former professional soccer players in Scotland finds that they were less likely to die of common causes such as heart disease and cancer compared with the general population but more likely to die from dementia. The results raise fresh concerns about head-related risks from playing the sport — at least for men at the pro level.
****
Q: Paragraph: The idea that the domestic dog descended from the grey wolf was originally established in 1993 using comparisons of wolf and dog mitochondrial DNA. This investigation showed that no other living animal was more closely related to the domestic dog than the grey wolf: “The domestic dog is an extremely close relative of the grey wolf, differing from it by at most 0.2% of [mitochondrial DNA].” Mitochondrial DNA is passed down by the mother (without any genetic contribution from the father) and changes only through random mutations that occur from generation to generation. Scientists use this much smaller and separate DNA sequence to estimate when populations of animals first diverged and to estimate the evolutionary relationships between organisms. By the mid-2000s, new technology allowed scientists to map the much longer DNA sequence found on the chromosomes of wolves and dogs — the genes that actually code for physical traits and behaviors. These studies demonstrated a 99.9% similarity (technically 99.96%) between dog and grey wolf, as covered in a 2007 review paper on the topic: In general, the domestic dog is an extremely close relative of the grey wolf, from which it differs by only ~0.04% in nuclear coding-DNA sequence, and no dog [mitochondrial DNA] sequences have been found that show closer kinship to other canid species. This similarity is so profound that hybridization often occurs between dogs and wolves. By the biological definition of species, this would mean that the domestic dog is a subspecies of the grey wolf (canis lupus familiaris). There remains some debate, however, as to what the appropriate classification for the domestic dog would be, with some arguing that the domestic dog should be its own distinct species (canis familiaris). Claim: Dogs and wolves are genetically 99.9% identical.
A: These advances in genetic analysis have allowed scientists as well to pin down the probable timing of the split between these two canid lineages. A study published in 2015, which compared the whole genome sequence of dogs to a 35,000 year old Siberian wolf specimen, suggested the split likely occurred between 27,000 and 40,000 years ago, and that domestic dogs are likely themselves the descendants of a now extinct descendant of grey wolves.
****
Q: Paragraph: Department of Health and Senior Services Director Randall Williams made the revelation during the second day of an administrative hearing to determine whether Missouri’s only abortion clinic will lose its license to perform the procedure. Williams said an investigator made a spreadsheet at his request that included the dates of patients’ last periods, The Kansas City Star reported. He said the goal was to find women who needed multiple procedures to complete an abortion. The head of the St. Louis clinic called the move “deeply disturbing.” “Missouri’s top health official, Randall Williams, scrutinized menstrual cycles of women in this state in order to end abortion access,” Yamelsie Rodriguez, president and CEO of Reproductive Health Services of Planned Parenthood of the St. Louis Region, said in a statement. Missouri House Minority Leader Crystal Quade, a Democrat from Springfield, called for an investigation to see if patient privacy was compromised or if laws were broken. She also was critical of Williams’ actions. “State law requires the health department director to be ‘of recognized character and integrity,’” Quade said in a statement. “This unsettling behavior calls into question whether Dr. Williams meets that high standard.” The state had moved to revoke the clinic’s license in June, citing concerns about a series of “failed abortions,” and a lack of cooperation from some of the doctors involved. While Williams said concerns about the clinic are “grave,” he said the issues are “imminently fixable.” He believes there are solutions that both the state and Planned Parenthood would agree to that would allow for licensure. Planned Parenthood says there are no deals on the table. Wrangling over the license began when an investigator involved in a March inspection of the clinic found that a woman had undergone an abortion that took five attempts to complete. William Koebel, director of the section of the health department responsible for abortion clinic licensing, said Monday that the clinic failed to provide a “complication report” for that incident. That failure led the health department to launch an investigation of other instances where women were required to undergo multiple procedures before an abortion was completed, Koebel said. As part of that investigation, the state obtained medical records of women who had abortions at the clinic. They found four women who required multiple procedures, including one where the physician apparently missed that a woman was pregnant with twins. The woman underwent two procedures five weeks apart. Planned Parenthood officials contend the state “cherry-picked” a handful of difficult cases out of thousands of otherwise successful abortions. They have accused the state of using the licensing process as a tool to eliminate abortions in Missouri, saying the state is among several conservative-led states seeking to end abortion through tough new laws and tighter restrictions. The Administrative Hearing Commission isn’t expected to rule on the licensing issue until February at the earliest. In the meantime, the clinic remains open. Missouri would become the first state since 1974, the year after the Supreme Court’s Roe v. Wade decision, without a functioning abortion clinic if the license is revoked. Missouri is among several states to pass new restrictions on abortions in the hope that the increasingly conservative U.S. Supreme Court will eventually overturn Roe v. Wade. Gov. Mike Parson, a Republican, signed legislation in May banning abortions at or beyond eight weeks of pregnancy, with exceptions for medical emergencies but not for rape or incest. The law is on hold while a legal challenge plays out in court. While the Missouri case unfolded, Planned Parenthood quietly built a new abortion clinic in Illinois, just across the Mississippi River from St. Louis, in part to meet demand from Missouri residents. The clinic in Fairview Heights opened Wednesday. Missouri women have been increasingly getting abortions at the Hope Clinic for Women in Granite City, Illinois, another St. Louis suburb. Deputy Director Alison Dreith said 58% of the abortions performed at the Hope Clinic through August of this year involved Missouri women, compared with 37% involving Illinois women. Another abortion clinic sits in Overland Park, Kansas, a Kansas City suburb. The clinic is 2 miles (3 kilometers) from the state line. Information from the state of Kansas shows about 3,300 of the 7,000 abortions performed there last year involved Missouri residents. Claim: Missouri agency tracked Planned Parenthood patients’ periods.
A: | Missouri’s health department director on Tuesday said he tracked the menstrual cycles of Planned Parenthood patients as part of an effort to identify what the agency says were “failed abortions” at a St. Louis clinic.
****
| 4 | NIv2 | task1369_healthfact_sentence_generation | fs_opt | [
0.9613610506057739,
0.1998022049665451,
-0.8452136516571045,
-0.7320990562438965,
0.5078935623168945,
-0.8378472924232483,
0.5126311779022217,
0.5365679264068604,
0.15074658393859863,
-0.06641009449958801,
-0.2959747910499573,
1.17661452293396,
-0.8369104266166687,
0.5350160002708435,
-0... |
Teacher: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1 3/4 cups all purpose flour, 1/4 cup finely ground blanched almonds, 1 teaspoon grated lemon zest, 1/2 cup confectioners sugar, 2 sticks unsalted butter, almost melted, 4 eggs, lightly beaten, 2 cups granulated sugar, 1/4 cup flour, 1/2 teaspoon baking powder, 2 teaspoons grated lemon zest, 1/3 cup fresh lemon juice, Candied violets for garnish, optional
Solution: flour, ground blanched almonds, lemon zest, confectioners sugar, butter, eggs, sugar, flour, baking powder, lemon zest, lemon juice, Candied violets
Reason: Given the required ingredients, the ner of the recipe is generated. As the ingredients contain the quantities, if we just remove quantities from ingredients, we get the ner.
Now, solve this instance: 1 c. butter, 1 1/2 c. brown sugar, 3 eggs (medium), 2 1/2 c. flour, 1 tsp. soda, 1 tsp. water, 1 c. chopped nuts, 1 c. chopped dates, 1/2 c. raisins, 1/2 c. candied cherries
Student: | butter, brown sugar, eggs, flour, soda, water, nuts, dates, raisins, candied cherries | 2 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
0.034622084349393845,
0.39131060242652893,
0.15415990352630615,
0.28685426712036133,
-0.0014019440859556198,
-0.5337061882019043,
0.7297531366348267,
0.5881291627883911,
-0.9755775928497314,
-0.07404167205095291,
-0.01856694370508194,
-0.2766147553920746,
-0.7100061774253845,
-0.3212777972... |
Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Input: Article: reeling from almost nationwide destruction from hurricanes gustav and ike , cash - strapped communist cuba thursday charged the united states was `` lying '' about its stated willingness to help . Title: chocolate magnate klaus jacobs dies at ##
Output: | no | 3 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.5353727340698242,
0.9384322166442871,
-0.05283697694540024,
-0.48903149366378784,
-0.44038957357406616,
-0.5724713802337646,
0.41366684436798096,
0.6052780151367188,
-0.46622955799102783,
0.5300608277320862,
-0.15163150429725647,
-0.18690761923789978,
-0.17118021845817566,
0.43752473592... |
A text is given in Malayalam. Translate it from the Malayalam language to the Marathi language. The translation must not omit or add information to the original sentence.
प्रत्येक डिजिटल पेमेंट मुळे वेळेची बचत होते . | ഓരോ ഡിജിറ്റല് പണമിടപാടും സമയം ലാഭിക്കുന്നു. | 0 | NIv2 | task1072_pib_translation_marathi_malayalam | zs_opt | [
0.1987512856721878,
0.39674556255340576,
-0.18520990014076233,
-0.3814123272895813,
-0.8661667108535767,
-0.12255352735519409,
1.0556795597076416,
0.32143741846084595,
0.41271287202835083,
-0.39947932958602905,
-0.19967147707939148,
-0.035127103328704834,
-0.6659307479858398,
0.37396985292... |
In this task you are expected to write an SQL query that will return the data asked for in the question. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1.
Q: Sort all captain names by their ages from old to young.
A: | SELECT name FROM captain ORDER BY age DESC | 4 | NIv2 | task107_splash_question_to_sql | zs_opt | [
0.9407382011413574,
0.20760062336921692,
-1.2937015295028687,
0.4432099461555481,
-0.25395339727401733,
-0.5998203754425049,
0.9085952043533325,
0.9200034737586975,
-0.426477313041687,
0.3665618896484375,
0.13077405095100403,
0.17348569631576538,
-0.2795722484588623,
0.38132840394973755,
... |
Detailed Instructions: In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Problem:Context: What's Love Got To Do With The Wiz? #HiddenFences#GoldenGlobes— DL.M (@SpeakDLM) January 9, 2017 Question: what event does the tweet reference?
Solution: | golden globes | 8 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
-1.1623640060424805,
1.5051227807998657,
-0.08316460251808167,
0.1549818515777588,
-0.6543103456497192,
0.21102960407733917,
-0.2710459232330322,
-0.028758520260453224,
0.12433941662311554,
-0.4319443106651306,
-0.8605803847312927,
0.20891818404197693,
-0.5213173031806946,
0.57568824291229... |
Definition: You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Input: Statement: ऑगस्ट, इ.स. २०१३मध्ये वृद्धापकालीन अस्वास्थ्यामुळे <MASK>च्या हिंदुजा रुग्णालयात साळगांवकरांना उपचारार्थ हलवण्यात आले. २० ऑगस्ट, इ.स. २०१३ रोजी भाप्रवेनुसार पहाटे ०५.१५च्या सुमारास त्यांचे रुग्णालयातच निधन झाले .
Option A: पंढरपूर
Option B: मुंबई
Option C: मालवण
Option D: सातारा
Output: | मुंबई | 2 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | zs_opt | [
1.2099456787109375,
0.9965611100196838,
-0.620461106300354,
-0.3864496350288391,
-0.5865793228149414,
-1.016018271446228,
0.5996230840682983,
0.5345743894577026,
0.4600585699081421,
-0.1974986493587494,
-0.27209222316741943,
0.450033962726593,
0.5765846371650696,
0.13981446623802185,
0.0... |
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