ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: This task is to translate a news commentary given in French language into Russian language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Categories: Translation
Domains: News

Positive examples:
input: L’or à 10.000 dollars l’once\xa0?
output: Золото по 10\xa0000 долларов?
explanation: This translation is accurate and is preserving the numerical values.; input: SAN FRANCISCO – Il n’a jamais été facile d’avoir une discussion rationnelle sur la valeur du métal jaune.
output: САН-ФРАНЦИСКО. Никогда не было легко провести рациональную дискуссию о ценности желтого металла.
explanation: The translation is precise and accurate.

Negative examples:
input: Et aujourd’hui, alors que le cours de l’or a augmenté de 300 pour cent au cours de la dernière décennie, c’est plus difficile que jamais.
output: А поскольку цена на золото сильно выросла за последнее десятилетие, это труднее, чем когда-либо.
explanation: The given translated output is not accurate as the translated statement does not explain how much the gold prices has risen and is describing a general rise.; input: En décembre dernier, mes collègues économistes Martin Feldstein et Nouriel Roubini ont chacun publié une tribune libre dans laquelle ils doutaient courageusement du marché haussier, soulignant de manière sensée les risques liés à l’or.
output: В декабре прошлого года мои коллеги-экономисты опубликовали открытую статью, в которой они мужественно сомневались в бычьем рынке, разумно подчеркивая риски, связанные с золотом.
explanation: In the given translation in Russian language, the names of economic publishers, Martin Feldstein and Nouriel Roubini, are not given.
Task: This task is to identify the language of a sentence correctly by classifying if it is English or Telugu
Categories: Language Identification
Domains: Web

Positive examples:
input: ఇల్లు అందంగా ఉంది
output: Telugu
explanation: The language is Telugu so it is correct.; input: There is a kite flying in the sky
output: English
explanation: The Language is correctly identified as English, so this is correct.

Negative examples:
input: సముద్రం చాలా అందంగా ఉంది
output: English
explanation: Language is Telugu but it is predicted as English so this is wrong.; input: There was heavy rain in the afternoon today.
output: Telugu
explanation: Language is English but it is predicted as Telugu so this is wrong.
Task: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Swedish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Swedish language. 2) Also names ,dates and places should be preserved it should not get translated.
Categories: Translation
Domains: Books

Positive examples:
input: Three Men in a Boat (to say nothing of the dog)
output: Tre män i en bat (för att inte tala om hunden)
explanation: The word 'three' and 'men' in English dataset translate to 'tre' and 'män' in Swedish. All the words in English sentence are present in the Swedish sentence.; input: JEROME K. JEROME
output: Jerome K. Jerome
explanation: The translation correctly preserve the name entity.; input: THERE were four of us - George, and William Samuel Harris, and myself, and Montmorency.
output: Vi var fyra — George, William Samuel Harris och jag själv, samt Montmorency.
explanation: The translation correctly preserves the name entity.; input: We were all feeling seedy, and we were getting quite nervous about it.
output: Vi madde alla daligt och var alla oroliga över var hälsa.
explanation: The Swedish sentence contains all the keywords of the English sentence and the translation is correct.

Negative examples:
input: CHAPTER I.
output: CAPÍTOL 
explanation: The 'CAPÍTOL ' is  wrong translation of the English word CHAPTER I the correct output should be Kapitel I. Also the Roman entity is missing.; input: With me, it was my liver that was out of order.
output: Jag hade alla dessa symptom.
explanation: The sentence in Swedish doesn't match the one in English.
Task: You are given an unfinished Catalan sentence, and you need to predict the rest of it.
Categories: Text Completion
Domains: News
Reasoning: Abductive Reasoning

Positive examples:
input: Una setantena de treballadors de Fomento de Construcciones y Contratas a Manresa , gairebé la totalitat de
output: la plantilla , s' han manifestat aquest migdia pels carrers de la ciutat .
explanation: This is original sentence 'Una setantena de treballadors de Fomento de Construcciones y Contratas a Manresa , gairebé la totalitat de la plantilla , s' han manifestat aquest migdia pels carrers de la ciutat .'. So, given 'Una setantena de treballadors de Fomento de Construcciones y Contratas a Manresa , gairebé la totalitat de', we have correctly generated 'la plantilla , s' han manifestat aquest migdia pels carrers de la ciutat .' completeting the sentence; input: Els treballadors han
output: iniciat aquesta matinada una vaga indefinida dels serveis de neteja viària i recollida d' escombraries .
explanation: This is original sentence 'Els treballadors han iniciat aquesta matinada una vaga indefinida dels serveis de neteja viària i recollida d' escombraries.'. So, given 'Els treballadors han', we have correctly generated 'iniciat aquesta matinada una vaga indefinida dels serveis de neteja viària i recollida d' escombraries .' completeting the sentence

Negative examples:
input: Si us
output: Salut
explanation: This is a bad example because we need to predict 'Si us plau .' to complete the sentence, but we have predicted 'Salut'; input: L' aturada s' ha
output: yes
explanation: This is a bad example because we need to predict 'convocat amb caràcter indefinit .' to complete the sentence, but we have predicted 'yes'
Task: In this task, you will be presented with a question having multiple possible answers in Chinese 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: 牙科诊所处理了很多口外伤的患者，这些患者来自哪里？ 
 Options: (A) 城镇 (B) 密西根 (C) 办公楼 (D) 医院 (E) 学校 
output: D
explanation: This is the correct answer because the traumatic injuries are generally handled by the hospitals.; input: Question: 汤姆少校想保存这些武器。 虽然他们很危险，但他觉得他们将来能有什么？ 
 Options: (A) 使用 (B) 街道 (C) 毁坏 (D) 腐烂 (E) 浪费 
output: A
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: 电风扇的声音太大，打扰了别人，虽然他们允许办公桌上放很多私人物品，但他被要求关在哪里？ 
 Options: (A) 橱子 (B) 走廊 (C) 办公室 (D) 家里 (E) 热室 
output: C
explanation: The predicted answer is correct as the prahse, they allowed personal things on the desk, suggests that fan is in the office.; input: Question: 这是今年很流行很常见的礼物，所以他去什么地方容易找到？ 
 Options: (A) 圣诞树 (B) 百货公司 (C) 专卖店 (D) 圣诞袜 (E) 橱子 
output: B
explanation: The predicted answer is correct because out of given many options only department stores are easy to find.; input: Question: 一个人为什么会呆在自己的工作岗位上不拿工资？ 
 Options: (A) 谢天谢地 (B) 排队 (C) 自告奋勇 (D) 帮忙 (E) 乐业 
output: E
explanation: This is the correct answer. If someone loves to work too much then they like to keep working even without getting paid.

Negative examples:
input: Question: 约翰不知道该给谁买什么。 买圣诞礼物对他来说压力很大，而完成是什么？ 
 Options: (A) 惨不忍睹 (B) 幸福 (C) 救济 (D) 缺钱 (E) 债务 
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 (C).; input: Question: 售票处告知乘客，列车晚点了，那么售票处在哪里呢？ 
 Options: (A) 电影院 (B) 体育场 (C) 学校 (D) 地铁站 (E) 礼堂 
output: E
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 (D).
Task: Given a sentence in Japanese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Categories: Translation
Domains: Wikipedia

Positive examples:
input: 1975  -  76年のNBAシーズンは、全米バスケットボール協会の30番目のシーズンでした。
output: La temporada 1975 - 76 de la Asociación Nacional de Baloncesto fue la temporada 30 de la NBA.
explanation: This is a correct and accurate translation from Japanese to Spanish because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: 匹敵する流速を維持することができるとき、結果は高い。
output: Los resultados son altos cuando se pueden mantener tasas de flujo comparables.
explanation: The resulting paraphrased translation from Japanese to Spanish is correct because the resulting translation holds the message that results are high when comparable rates of flow are maintained.

Negative examples:
input: 1560年10月にパリで、彼は密かにスコットランドを通ってイングランドに戻るためにパスポートを彼に求めて、英国大使ニコラスThrockmortonに会いました。
output: En octubre de 1560, se reunió en secreto con el embajador inglés, Nicolas Throckmorton, en París, y le pidió un pasaporte para regresar a Escocia a través de Inglaterra.
explanation: This is not a proper translation from Japanese to Spanish because the resulting translation is not accurate to the original idea in which the locations of England and Scotland are not accurate.; input: 具体的な議論、パブリックプロファイルの議論、そしてプロジェクトの議論もあります。
output: También hay discusiones públicas, discusiones de perfiles específicos y discusiones de proyectos.
explanation: This translated paraphrase from Japanese to Spanish is incorrect because the resulting translation does not reflect the actual topics of dicussion and debate relating to profiles and projects.
Task: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: 処方箋を支払う為の保険は ？
output: Terán seguro para pagar a receita?
explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserved.; input: 何であれ大切なものですこいつとは常に一緒にアパートを渡り歩いています
output: Sexa o que sexa, ten que ser bastante importante porque viaxei con ela, movina de apartamento a apartamento a apartamento.
explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserved.; input: DNAが劣化したからではありませんよ
output: Non é porque o seu ADN dexenerara.
explanation: The Japanese sentence is correctly translated into Galician, because the meaning is preserved.

Negative examples:
input: 私たちがその成長しつつある脳を変化させ影響を与えることができる窓が開いているうちに自閉症の可能性がある人を診断できることは非常に重要です
output: Meu esposo tamén pasou moito tempo na cadea "" (Risas) Entón Nelson Mandela acudiu ó escenario e resumiu o reto que temos todos.
explanation: The Japanese sentence is not correctly translated into Galician, because the meaning is different.; input: ある２つの要素がコミュニケーションを可能にしていると我々は考えています
output: E cremos que hai dous factores que nos permiten comunicarnos.
explanation: The Japanese sentence is not correctly translated into Galician, because the meaning is different.; input: 私のダンナも長いこと刑務所にいたの」 （ 会場笑 ） ネルソンマンデラはステージに下りて行き我々全員にとっての挑戦を総括しました
output: Sermos capaces de facer esa diagnose en alguén que é vulnerable nun curto espazo de tempo en que temos a capacidade de transformar, de producir un efecto nese cerebro que medra e se desenvolve, é crucial.
explanation: The Japanese sentence is not correctly translated into Galician, because the meaning is different.
Task: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2) Also names ,dates and places should be preserved it should not get translated.
Categories: Translation
Domains: Books

Positive examples:
input: I stood upon the hearth-rug and picked up the stick which our visitor had left behind him the night before.
output: Minä seisoin matolla tulisijan edessä pitäen kädessäni keppiä, jonka eräs edellisenä iltana luonamme käynyt herra oli unohtanut.
explanation: The English sentence contains all the keywords of the Finnish Sentence.; input: Sir Arthur Conan Doyle
output: A. Conan Doyle ENSIMMÄINEN LUKU.
explanation: The English input is a name so it will be same in Finnish.; input: It was just such a stick as the old-fashioned family practitioner used to carry--dignified, solid, and reassuring.
output: Juuri sellaista keppiä käyttävät tavallisesti vanhat perhelääkärit -- se näytti arvokkaalta, vakavalta ja luottamusta herättävältä.
explanation: The name entity is preserved and the English sentence contains all the keywords.; input: Well, Watson, what do you make of it?
output: Kas niin, Watson, mitä johtopäätöksiä tuosta teet?
explanation: The English sentence contains all the keywords of the Finnish Sentence.Also the name entity is preserved.

Negative examples:
input: Chapter 1 Mr. Sherlock Holmes
output: CAPÍTOL I Mr. Sherlock Holmes
explanation: The 'CAPÍTOL I Mr. Sherlock Holmes' is  wrong translation of the english word  the correct output should be Herra Sherlock Holmes.; input: Holmes was sitting with his back to me, and I had given him no sign of my occupation.
output: Jag hade alla dessa symptom.
explanation: The sentence of the Finnish doesn't match the one in English.
Task: 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'.
Categories: Program Execution
Domains: Mathematics

Positive examples:
input: twotwoonesixzeronine
output: 221609
explanation: The string is properly converted into a number based on the spelling of each digit. The string started with 'twotwo' therefore the number also started with '22'. This is a good example.; input: zerozerozerozero
output: 0000
explanation: The string contains the substring 'zero' repeated four times. Therefore, the output number is the digit '0' repeated four times. This is a good example.; input: threefiveeightthreefourfoureightfourthreesix
output: 3583448436
explanation: The string is properly converted into a number based on the spelling of each digit. The substring 'fiveeight' is properly turned into '58' the last 'e' of 'five' and first 'e' of 'eight' were properly separated.

Negative examples:
input: fourfourzeronineseven
output: fourty four thousand ninty seven
explanation: The string is turned into another string that represents how you would pronounce the number '44097'. You should only output the number in which the string spells out its digits. This is a bad example.; input: eighteightone
output: [8, 8, 1]
explanation: The output is a list of the digits that the string spelled out. You should only output one number so the output should have been '881'. This is a bad example; input: eightonefivesevensix
output: 81,576
explanation: The output contains a comma. No commas or any other characters should be included in the output. Only numbers should be included in the output.
Task: You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are expected to output 'Text one' if the first sentence is simpler. Otherwise output 'Text two'.
Categories: Text Simplification
Domains: Wikipedia

Positive examples:
input: Text one: From its inception, it was designated a duty-free port and vied with the neighboring Sultanate of Pattani for trade
 Text two: From the start, it was chosen to be a duty-free port to compete with the neighboring Sultanate of Pattani for trade.
output: Text two
explanation: Text two has simpler words, ,so it is easier to understand by non-native English speakers.; input: Text one: Think of all the ways everyone in your household will benefit from your membership in Audubon.
 Text two: Everyone in your household will benefit from membership in Audubon.
output: Text one
explanation: Text one is shorter and it doesn't contain unnecessary phrases.; input: Text one: He was involved in two conversions which turned out to be crucial. 
 Text two: He was involved in two conversions. These conversions turned out to be crucial.
output: Text two
explanation: The second text contains shorter sentences which are easier to understand.

Negative examples:
input: Text one:For her initiatives towards empowering women and society, she was conferred the Women Economic Forum 2017 Award. 
 Text two: For her actions towards empowering women and society, she was given the Women Economic Forum 2017 Award.
output: Text one
explanation: Although there's one difficult word in the second text, the first one contains more complex words and is not the correct answer for the task.; input: Text one: He was involved in two conversions which turned out to be crucial. 
 Text two: He was involved in two conversions. These conversions turned out to be crucial.
output: Number two
explanation: Your answer should contain the exact phrases 'Text one' or 'Text two'.
Task: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Catalan Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Catalan language. 2) Also names, dates and places should be preserved it should not get translated.
Categories: Translation
Domains: Books

Positive examples:
input: The Adventures of Tom Sawyer
output: Les Aventures De Tom Sawyer
explanation: The word 'the' and 'of' in English sentence means 'of' and 'les' in Catalan sentence.So the translation is correct.Also the name entity is preserved. ; input: Mark Twain
output: Mark Twain
explanation: The name entity is preserved.The translation is correct.; input: PREFACE
output: PREFACI
explanation: The word 'prefaci' in Catalan means preface in English.The translation is correct.; input: HARTFORD, 1876.
output: L'AUTOR (Hartford, 1876)
explanation: The name and date entity is preserved.The translation is correct.

Negative examples:
input: CAPITAL I
output: CAPÍTOL I
explanation: The translation is incorrect.; input: Cap resposta
output: Cap Repost
explanation: The translation is incorrect.
Task: In this task, you are given a question, and your task is to predict the context of the question. We assume that someone named X asked the question from Y. The context of the question means the previous situation that led X to ask this question.
Categories: Misc.
Domains: Dialogue
Reasoning: Reasoning with Symbols; Reasoning on Social Interactions

Positive examples:
input: Do you want to see that movie?
output: Y has just travelled from a different city to meet X.
explanation: It's a two-person conversation, and the first person asked if the other person was ready to watch a movie. The context can be that the person just travelled from another city, and wanted to hang out with the other person. Based on the given question, we have predicted the context of the question correctly.; input: Do you like working with the software developers?
output: Y has just told X that he/she is considering switching his/her job.
explanation: The question and the context both are related to jobs. Based on the given question, the context of the question was predicted correctly.

Negative examples:
input: Do you cook often?
output: X wants to know about Y's music preferences.
explanation: The context was regarding music preferences, while the question was related to cooking. so, based on the given question, the context of the question was predicted incorrectly.; input: Are you a fan of movie soundtracks?
output: Y has just told X that he/she is thinking of buying a flat in New York.
explanation: The context and the question are not related as the input was about soundtracks and the context was about an apartment. Based on the given question, the context of the question was predicted incorrectly.
Task: You are shown a random response (from a computer or a human). Generate a language query such that it leads to this reply.
Categories: Dialogue Generation
Domains: Dialogue
Reasoning: Reasoning on Social Interactions

Positive examples:
input: Contact number 07404031593. You are in a Red Skoda.
output: Can you book a taxi between the two places? I'd like to arrive at the restaurant in time for my reservation.
explanation: The output correctly questions the input, and the flow is maintained because first the system has shared the booking details.; input: It's my pleasure. You're booked with reference HXG3N56O . The total fee is 19.6 GBP payable at the station. May I help with anything else?
output: Please book for two people. Thanks for checking again.
explanation: The output correctly questions the input, and the flow is maintained because first the system has shared the booking details because the user has asked to book a hotel so this maintains the context and potrays the coherent information.

Negative examples:
input: Looking for a train Tuesday leaving kings lynn after 9:30 to go to cambridge.
output: How are you doing ?
explanation: The output is not relevant and is out of context. The user is responding to input by asking a question which the system has not answered.; input: I want to leave on Tuesday.
output: What is the value of exponent constant?
explanation: The user is responding to input by asking a question which the system has not answered. The output is not relevant and is out of context.
Task: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Categories: Stereotype Detection
Domains: Stereotypes
Reasoning: Commonsense Reasoning

Positive examples:
input: Passage: The game-winning football player is very aggressive.
output: Stereotype
explanation: It is a stereotype because we have a standardized image that game-winning players are commonly aggresive. There is no mention of the football player's aggresive behavior.; input: Passage: I'm dating a bartender. She is a genius and never flirts with the customers.
output: Anti-stereotype
explanation: This is an anti-stereotype because people commonly have a over-generalized impression that bartenders flirts with the customers.; input: Passage: The bartender is usually a chair
output: Unrelated
explanation: It is unrelated because the chair does not describes a person nor it consitutes a stereotype.

Negative examples:
input: Passage: Syria is a country filled with peace.
output: Unrelated
explanation: This should be an anti-stereotype because people commonly have the standardized image that Syria is filled with war.; input: Passage: Norway is known for its freindly atmosphere with tourists.
output: Anti-stereotype
explanation: This should be a stereotype because Norway is indeed a country known for its friendly atmosphere with tourists.; input: Passage: I spoke to my manager the other day. I like to eat chicken sandwiches.
output: Stereotype
explanation: This should be unrelated because it does not show any stereotype towards anyone.