ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: You are given a math word problem and you are supposed to apply multiplication or division mathematical operators on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Categories: Question Answering
Domains: Mathematics
Reasoning: Numerical Reasoning; Quantitative Reasoning; Mathematics -> Arithmetic

Positive examples:
input: Maria has 3 boxes of eggs . Each box holds 7 eggs and there are 8 boxes in a case . How many eggs does Maria have ?
output: 21
explanation: Total number of eggs that Maria has is 3*7 = 21; input: Tom had 56 dollars  how many 4 dollar toys could he buy with the money he had left ?
output: 14
explanation: Total toys Tom can buy is 56/4 = 14 toys

Negative examples:
input: Each ticket costs $ 9 . How much do 4 tickets cost ?
output: 9
explanation: 4 tickets would cost = cost of each ticket*total tickets = 9*4 = 36; input: If Victor split 25 Skittles between 5 people in her class and kept the left overs , how many Skittles did each classmate get ?
output: 25
explanation: each classmate gets 25/5 = 5, hence correct answer is 5
Task: You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Categories: Grammar Error Detection
Domains: Books; Dialogue
Reasoning: Reasoning on Social Interactions

Positive examples:
input: Our friends won't buy this analysis, let alone the next one we propose.
output: 1
explanation: Since all the entities are in thier correct positions the statement is grammatically correct.Hence, the output is 1.; input: One more pseudo generalization and I'm giving up.
output: 1
explanation: Since all the entities are in thier correct positions the statement is grammatically correct.Hence, the output is 1.; input: They drank the pub.
output: 0
explanation: Here the statement doesn't make any sense. Hence, the statement is grammatically incorrect and output is 0. The statement should've been "They drank the pub dry".; input: Day by day the facts are getting murkier.
output: 1
explanation: Since all the entities are in thier correct positions the statement is grammatically correct.Hence, the output is 1.

Negative examples:
input: The most you want, the least you eat.
output: 1
explanation: The word "most" makes the statement incorrect. So the output should've been 0 for incorrect.; input: The dog barked out of the room.
output: 1
explanation:  This statement doesn't make any sense. The statement should've been more like "The dog barked its way out of the room". Hence the output should've been 0 for incorrect grammar.
Task: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Categories: Translation
Domains: Government and Politics

Positive examples:
input: The debate is closed.
output: Jag förklarar debatten avslutad.
explanation: English sentence is properly converted into Swedish sentence.; input: Thank you very much, Commissioner.
output: Tack så mycket, fru kommissionär.
explanation: English sentence is properly converted into Swedish sentence.; input: Furthermore, Amendment No 43 does not fall within the directive' s area of applicability.
output: Ändringsförslag 43 hör vidare inte hemma i direktivets tillämpningsområde.
explanation: English sentence is properly converted into Swedish sentence.

Negative examples:
input: The debate is closed.
output: Jag förklarar avslutad.
explanation: The conversion of English to Swedish is wrong because output missed one part from the input, i.e., debate.; input: Thank you very much, Commissioner.
output: Inga problem, fru kommissionär.
explanation: The conversion of English to Swedish is wrong because output did ot translate " Thank you very much " and instead of that it puts some other words (which do not mean Thank you very much).; input: Furthermore, Amendment No 43 does not fall within the directive' s area of applicability.
output: Ändringsförslag 45 hör vidare inte hemma i direktivets tillämpningsområde.
explanation: The conversion of English to Swedish is wrong because it changes the number 43 to 45.
Task: Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.
Categories: Paraphrasing
Domains: Wikipedia

Positive examples:
input: 1975年的NBA赛季 -  76赛季是全美篮球协会的第30个赛季。
output: 1975-76赛季的全国篮球协会是NBA的第30个赛季。
explanation: The paraphrase of the original sentence in Chinese is correct and accurate because even though sentence order has been changed, the denotion that the 30th season of the NBA occurred in the years 1975 - 1976 is retained.; input: 当可以保持相当的流速时，结果很高。
output: 当可以保持可比较的流速时，结果很高。
explanation: This is a proper paraphrase of the original sentence in Chinese because the main idea that results are high only in the condition that comparable flow rates is maintained.

Negative examples:
input: 1560年10月，他在巴黎秘密会见了英国大使Nicolas Throckmorton，要求他通过苏格兰返回英国。
output: 1560年10月，他在巴黎秘密会见了英国大使尼古拉斯·斯罗克莫顿，并要求他通过英格兰返回苏格兰的护照。
explanation: The example is not considered a proper paraphrase of the original sentence in Chinese because the through and destination locations are flipped - Scotland and England, respectively.; input: 还有具体的讨论，公众形象辩论和项目讨论。
output: 还有公开讨论，特定档案讨论和项目讨论。
explanation: This example does not constitute a proper paraphrase of the original sentence in Chinese because the descriptors of the nouns ("specific", "public") are swapped, and the sentence is missing any reference to debates as it has been replaced with discussions.
Task: Given a text from Polish tweets, classify given tweet text into two categories: '1' (bullying), and '0' (not bullying) on its content.
Categories: Toxic Language Detection
Domains: Social Media -> Twitter
Reasoning: Commonsense Reasoning -> Social Situations; Reasoning on Social Interactions

Positive examples:
explanation: The tweet contains Bullying content
input: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account
output: 1; explanation: The tweet does not contain Bullying content
input: Dla mnie faworytem do tytułu będzie Cracovia. Zobaczymy, czy typ się sprawdzi.
output: 0; explanation: The tweet contains Bullying content
input: #Woronicza 17 poseł Halicki oburzony za Bolka.Naprawdè taki tępy czy tylko udaje idiotę?
output: 1; explanation: The tweet does not contain Bullying content
input: @anonymized_account @anonymized_account Super, polski premier składa kwiaty na grobach kolaborantów. Ale doczekaliśmy czasów.
output: 0

Negative examples:
explanation: The tweet contains Bullying content
input: @anonymized_account @anonymized_account No to Skończmy kurwa z tym wersalem w j...ej szczujni
output: 0; explanation: The tweet does not contain Bullying content
input: @anonymized_account @anonymized_account Brawo ty Daria kibic ma być na dobre i złe
output: 1; explanation: The tweet contains Bullying content
input: @anonymized_account @anonymized_account @anonymized_account Jak narazie to masz przywidzenia co nie zmienia faktu że cały czas jesteś idiotą.
output: 0; explanation: The tweet does not contain Bullying content
input: @anonymized_account @anonymized_account Musi. Innej drogi nie mamy.
output: 1
Task: In this task, you are given a premise and hypothesis. The task is to classify them into three categories: 'positive' if the hypothesis supports the premise, 'negated' if it opposes the premise, and 'neutral' if it neither supports nor opposes it.
Categories: Textual Entailment
Domains: Commonsense
Reasoning: Textual Entailment

Positive examples:
input: 'Premise : All ten guys that proved to boast were divorcing.','Hypothesis : There are exactly ten guys that proved to boast.'
output: positive
explanation: The output of the given hypothesis and hremise is 'Positive' as the hypothesis supports the premise in a 'Positive' way. In the premise it is mentioned ten guys and even in the hypothesis, ten guys are mentioned; input: 'Premise : All ten reports that can bore some waiter aren't disagreeing with Naomi.','Hypothesis : There are exactly eleven reports that can bore some waiter.'
output: negated
explanation: The output of the given hypothesis and premise is 'Negated' as the hypothesis is related to the premise but in a negative way. In the premise there is mention of ten reports but in hypothesis it is mentioned eleven reports; input: Premise : All ten guys that proved to boast weren't divorcing.','Hypothesis : There are exactly ten senators that proved to boast.'
output: neutral
explanation: The output is 'neutral' because the hypothesis neither supports or negates the Premise

Negative examples:
input: 'Premise : If all ten guys that proved to boast were divorcing, it's okay.','Hypothesis : There are exactly ten guys that proved to boast.'
output: negated
explanation: The output is 'positive' not 'negated' as the hypothesis supports the premise in a 'positive' way. In the premise it is mentioned ten guys boasted and even in the hypothesis, ten guys are mentioned to be boasting; input: 'Premise : All ten reports that can bore some waiter aren't disagreeing with Naomi.','Hypothesis : There are exactly ten reports that can bore some waiter.'
output: negated
explanation: The output is 'positive' not 'negated' as the hypothesis supports the premise in a 'positive' way. In the premise it is mentioned ten reports and even in the hypothesis, ten reports are mentioned that bore some waiter; input: 'Premise : There are exactly ten waiters that can bore some waiter.','Hypothesis : There are exactly ten waitresses that can bore some waiter.'
output: positive
explanation: The output is 'neutral' not 'positive' as the hypothesis and premise talk about different things and they have no relation with each other. In the premise, it mentions ten waiters and in the hypothesis it mentions ten waitresses.
Task: This task is about translating a given English language sentence to French.
Categories: Translation
Domains: Captions -> Video Captions

Positive examples:
input: How shall we inscribe intent on all the objects we create, on all the circumstances we create, on all the places we change?
output: Comment devrions nous inscrire l'intention sur tous les objets que nous créons, sur toutes les circonstances que nous créons, sur tous les lieux que nous changeons ?
explanation: This is a good example because the English sentence has been translated correctly to French.; input: Well, 2 is less than 8.
output: Donc, 2 est plus petit que 8.
explanation: This is a good example because the English sentence has been translated correctly to French.; input: It is time to leave behind the divisive battles of the past.
output: Il est temps de laisser derrière les discorde batailles du passé.
explanation: This is a good example because the English sentence has been translated correctly to French.

Negative examples:
input: That development should not come at the expense of the majority of the population is still considered a radical idea here in the U.S.
output: Mosse c'est le système éducatif à l'heure actuelle.
explanation: This is a bad example because the English sentence has not been translated correctly to French.; input: How did we get here?
output: Ca n'as rien d'un secret
explanation: This is a bad example because the English sentence has not been translated correctly to French.
Task: In this task, we are given a sentence in either 'English' or 'Kurdish' languages and we have to determine what the language of the sentence is as output
Categories: Language Identification
Domains: News

Positive examples:
input: If we defend that it is not only Turks but many different peoples are living in a country in which suffering, oppression, and other things that shouldn’t be seen in 21st century, and mention an understanding that defend that these peoples should develop without hurting each other, excluding each other’s languages, cultures, then we should promote websites like bianet that opens its own site to languages other than Turkish.
output: English
explanation: This is a positive example as the output is 'English' and the input sentence given is in English Language; input: Nivîskar Şêxmûs Diken: bianet nêzî 20 salan e weşaneke serbixwe û bêalî pêk tîne û di vî warî de nirxdarbûna xwe îspat kiriye. Piştî ku rûpela xwe ya îngilîziyê ava kir, iha jî dest bi weşana Kurdyê dike. Ji xwe xwendekarên wê gelek bûn û ji vê pê ve wê êdî xwendekarên kurdî jî tevlî wan bibin. Li gorî min ji destpêkê heta îro ez her dem xwendekarek bianetê bûm û nivîskarê wê me, ji bo min ev yek gelek girîng e. Ez baş dizanim ku xwendekarên bianetê girseyek hilbijêr e û nûçeyên ku dixwînin jî bi vî awayî diyar dikin. Bi vê yekê ve, wê êdî xwendekarên hilbijêr û xwendekarên kurd li qadeke wiha de werin gel hev; ev yek gelek bi qiymet e.
output: Kurdish
explanation: This is a positive example as the output is 'Kurdish' and the input sentence given is in Kurdish Language

Negative examples:
input: Parêzer, Ozlem Gumuştaşê jî gotiye wê cara pêşiyê dozeka bi vî rengî dîtiye. Her kes di doze de ne heta ku nivîsên bênivîskar jî di dosyayê de hene.
output: English
explanation: This is a Negative example as the input language is 'Kurdish' whereas the output is 'English'; input: Yüksek has been arrested on the order of the court he had been delivered to yesterday (May 12) morning.
output: Kurdish
explanation: This is a Negative example as the input language is 'English' whereas the output is 'Kurdish'
Task: In this task, you are given one english sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into German.
Categories: Translation
Domains: Healthcare; Professions

Positive examples:
input: Flu in birds is quite common.
output: Grippe bei Vögeln kommt relativ häufig vor.
explanation: The translation is correct.; input: Tick-borne encephalitis
output: Zeckenenzephalitis
explanation: The translation is fluent, formal, and accurate.; input: Effective treatment is available.
output: Es steht eine wirkungsvolle Behandlung zur Verfügung.
explanation: The translation is accurate.

Negative examples:
input: The bacteria are able to survive in the nature at a wide range of temperatures.
output: Der  Direktor  ist für die allgemeine Koordination und Leitung des ECDC zuständig.
explanation: The translation is incorrect.; input: Advisory forum Advisory Forum
output: Forum consultatif Forum consultatif
explanation: This example is incorrect because it translated into other languages.; input: So far three influenza type A virus subtypes have been found in pigs:
output: Bisher Schweinen drei Influenza-Typ-A-Virus-Subtypen wurden bei  gefunden:
explanation: The translation is not fluent and it's informal.
Task: You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Agora, está ao lado, ou na miña casa.
output: Now, it's next door, or in my house.
explanation: The Galician sentence is correctly translated into English. `casa` is correctly translated as `house`.; input: Decatámonos de que con esa cor tiñamos unha marxe de maniobra.
output: We realized early on that color was one we had some leeway with.
explanation: The Galician sentence is correctly translated into English, because the meaning is preserved.; input: Aquí está a relación
output: Here it is in relation to that same measure of inequality.
explanation: The Galician sentence is correctly translated into English, because the meaning is preserved.

Negative examples:
input: (Risas) (Aplausos) E probablemente unha chea de árbores tamén.
output: (Laughter) (Applause) And probably a whole bunch of trees as well.
explanation: The Galician sentence is not correctly translated into English. Information is missing, because `Risas`, which means `Laughter`, is not translated.; input: Estas prácticas teñen repercusións medioambientais e económicas significativas que xa estamos comezando a ver hoxe.
output: And these practices have significant economic and environmental implications that we're already starting to see today.
explanation: The Galician sentence is not correctly translated into English, because the meaning is different.; input: (Risas) (Aplausos) E probablemente unha chea de árbores tamén.
output: And another form of negativity, complaining.
explanation: The Galician sentence is not correctly translated into English, because the meaning is different.
Task: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can be replaced with synonyms. The objective is to construct a question in a manner that (a) captures the facts specified in at least one of the triplets, and (b) ideally contains a limited number of blanks such that it is a well-formed question that is easy to answer. A blank can represent a single word or a phrase.
Categories: Data to Text
Domains: Wikipedia

Positive examples:
input: [['Northwestern College', 'NICKNAME', 'Red Raiders'], ['Northwestern College', 'LOCATION', 'Orange City, Iowa']]
output: The team whose nickname is red raiders is located in the _______
explanation: This sentence uses the triplets by correctly using the (subject, predicate, object) semantics for both the triplets provided, and is a good question since red raiders can be associated by a human to Northwestern college which is located in Iowa.; input: [['University of Mississippi', 'NEW_CONFERENCE', 'SELC']]
output: _____ was in the selc new conference.
explanation: This is a good example since the question clearly indicates that the subject is missing and its relationship is to be involved with the SELC conference.; input: [['hear the birds', 'SEASON_3_EP_#', '12']]
output: The title of _____ _____ is "Hear the Birds."
explanation: This is a good question since it provides the exact subject (hear the birds) and asks a question pertaining to the predicate as well as the object.

Negative examples:
input: [['Graham Edwards', 'PROVINCE', 'North Metropolitan']]
output: Edwards _____ the North Metropolitan Province.
explanation: This sentence is a bad example since it does not utilize the RDF triplet in the question making it open to interpretation. For example, this blank can be filled in several ways like: represented, belongs to etc. making it a poorly generated question.; input: [['Li Qiaoxian (CHN)', 'PRELIMINARY_RANK', '6']]
output: _____ had a _____ of _____.
explanation: This sentence is not a good example because there is too little information present. In fact, the RDF relationships is not captured in any sense over here leaving this question very open-ended.; input: [['27', 'POINTS_FOR', '393'], ['Garndiffaith RFC', 'PLAYED', '22'], ['Garndiffaith RFC', 'POINTS', '27']]
output: 22 games _____ played and 393 points _____.
explanation: This sentence is a poor example since even though the RDF triplet is captured correctly, the question generated does not involve the RDF triplets in the answer.
Task: In this task, you will be presented with a question having multiple possible answers in Russian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Categories: Question Answering
Domains: Commonsense
Reasoning: Commonsense Reasoning

Positive examples:
input: Question: В стоматологическом кабинете работало много пациентов, получивших травму полости рта, откуда эти пациенты? 
 Options: (A) город (B) Мичиган (C) офисное помещение (D) больница (E) школы 
output: D
explanation: This is the correct answer because the traumatic injuries are generally handled by the hospitals.; input: Question: Зачем человеку оставаться на работе без зарплаты? 
 Options: (A) слава Богу (B) получать удовольствие от работы (C) волонтёр (D) помощь в предложении (E) ждать в очереди 
output: B
explanation: This is the correct answer. If someone loves to work too much then they like to keep working even without getting paid.; input: Question: Майор Том хотел сохранить оружие. Как бы они ни были опасны, он чувствовал, что они могут иметь то, что в будущем? 
 Options: (A) загнивать (B)  (C) руина (D) использовать (E) отходы 
output: D
explanation: One preserves something mainly if he/she thinks that it might be useful in the future. Hence, the predicted answer is correct.; input: Question: Это был популярный и распространенный подарок в этом году, поэтому он отправился туда, где его будет легко найти? 
 Options: (A) универмаг (B) рождественский чулок (C) специализированный магазин (D) рождественская ёлка (E) каморка 
output: A
explanation: The predicted answer is correct because out of given many options only department stores are easy to find.; input: Question: Электрический вентилятор стал слишком громким и беспокоил других, хотя они разрешили много личных вещей на столах, которые он должен был выключить где? 
 Options: (A) каморка (B) прихожая (C) горячая комната (D) офис (E) домашний адрес 
output: D
explanation: The predicted answer is correct as the prahse, they allowed personal things on the desk, suggests that fan is in the office.

Negative examples:
input: Question: Джон не знал, что подарить кому-нибудь. Покупка рождественских подарков была для него стрессом, и окончание было что? 
 Options: (A) долг (B) счастье (C) очень печальный (D) отсутствие средств (E) рельеф 
output: D
explanation: John was stressed on buying the Christmas presents. Hence, the fishing was relief to him. Hence. the predicted answer is incorrect. And correct answer is (E).; input: Question: Билетная касса информировала всадников о том, что поезд опаздывает, так где же находится билетная касса? 
 Options: (A) кинотеатр (B) спортивная арена (C) станция метро (D) школа (E) аудитория 
output: A
explanation: This is incorrect answer. Because the train is running late. Hence, the ticket booth is located in metro station. Therefore, the correct answer is (C).
Task: 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.
Categories: Program Execution
Domains: Mathematics
Reasoning: Quantitative Reasoning; Numerical Reasoning; Mathematics -> Arithmetic

Positive examples:
input: [3, 0, 3, 8]
output: [3, 3]
explanation: Zero and eight are removed from the input list because they are even numbers, and because three appeared twice in the input list, it appears twice in the output list. So this is a good example.; input: [4, 10, 10]
explanation: Every value in the input list is even so an empty list is returned. So this is a good example.

Negative examples:
input: [6, 4, 1, 5]
output: [6, 4]
explanation: The output contains only the even numbers from the input. So this is a bad example. Remember that you should remove the even elements and write the rest of the list.; input: [5, 0, 5, 6, 5]
output: [5]
explanation: The output only included one instance of the element 5, even though it appears three times in the input list. So this is a bad example.; input: [3, 2, 4, 7]
output: (3, 7)
explanation: Your list of numbers should be inside brackets. This is not a correct answer.