ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
Categories: Sentiment Analysis
Domains: Public Places -> Restaurants; Reviews -> Restaurants

Positive examples:
input: এই জায়গা চমৎকার পরিবেশ ভালবাসা এবং আমার পছন্দের কিছু পেয়েছিলাম তাই এই আমার সবচেয়ে প্রস্তাবিত রেস্টুরেন্টে হচ্ছে
output: positive
explanation: Here the reviewer seems to love the ambience of the restaurant, so this should be classified as positive.; input: সার্ভিস খুব আহামরি ছিলনা। .... খাবারের মানও গুণগত  নয় ...খাবারের মূল্যটাও অযৌক্তিক  !!! হতাশ ......
output: negative
explanation: Here the reviewer seems to feel the service was not great, so was the food quality and so this should be classified as negative.

Negative examples:
input: এই জায়গা চমৎকার পরিবেশ ভালবাসা এবং আমার পছন্দের কিছু পেয়েছিলাম তাই এই আমার সবচেয়ে প্রস্তাবিত রেস্টুরেন্টে হচ্ছে
output: awesome
explanation: You are expected to return "positive" or "negative". This should be classified as positive as the reviewer seems to love the ambience of the restaurant.; input: সার্ভিস খুব আহামরি ছিলনা। .... খাবারের মানও গুণগত  নয় ...খাবারের মূল্যটাও অযৌক্তিক  !!! হতাশ ......
output: bad
explanation: You are expected to return "positive" or "negative". This should be classified as negative as the reviewer seems to feel the service was not great, so was the food quality.; input: এই জায়গা চমৎকার পরিবেশ ভালবাসা এবং আমার পছন্দের কিছু পেয়েছিলাম তাই এই আমার সবচেয়ে প্রস্তাবিত রেস্টুরেন্টে হচ্ছে
output: negative
explanation: Here the reviewer seems to love the ambience of the restaurant, so this should be classified as positive instead of negative.
Task: 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.
Categories: Program Execution
Domains: Mathematics
Reasoning: Quantitative Reasoning; Mathematics -> Arithmetic

Positive examples:
input: [73, 30, 71, 47, -65, 50, -90, -60]
output: 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.; input: [77, 77, -77]
output: 154
explanation: The absolute difference of '77' and '77' is '0' while the absolute difference of '-77' and '77' is '154'. That is what is returned so this is a good example.

Negative examples:
input: [-47, 9, -22, 17, 18]
output: [-47, 18]
explanation: The output contains the integers that result in the maximum absolute difference. Only the value of the maximum absolute difference should be returned. So this is a bad example.; input: [13, -8, -50, -40, 38, -24, 13, 14]
output: 42
explanation: The output took the absolute value of every integer then found the maximum difference. Only the absolute value of the difference should be calculated. So this is a bad example.
Task: In this task you will be given two lists of numbers and you need to calculate the intersection between these two lists. The intersection between two lists is another list where every element is common between the two original lists. If there are no elements in the intersection, answer with an empty list. Your list of numbers must be inside brackets. Sort the numbers in your answer in an ascending order, that is, no matter what the order of the numbers in the lists is, you should put them in your answer in an ascending order.
Categories: Program Execution
Domains: Code -> Repo -> Stack Overflow
Reasoning: Numerical Reasoning; Quantitative Reasoning; Mathematics -> Arithmetic

Positive examples:
input: [2,5,1,4],[2,5,8,4,2,0]
output: [2,4,5]
explanation: The elements 2,4, and 5 are in both lists. This is a good example.; input: [1,7,5],[0,0,2,4,6]
explanation: There are no elements that are in both lists. So an empty list is output. This is a good example.

Negative examples:
input: [1,4,5],[0,0,4,3]
output: [0,1,3,4,5]
explanation: The union of the lists is returned, where each element is in at least one of the sets. The intersection must be in both sets. This is an incorrect output.; input: [5,9,1,3,3], [4,3,8,1]
output: [1,3,3], [3,1]
explanation: There should only be one list in the output and each element should only be in that list once. This is an incorrect output.; input: [9, 3, 10, 5, 6, 7] , [2, 5, 10, 4, 4, 3]
output: [10,5,3]
explanation: The given list is correct, but its elements should be given in an ascending order, that is: [3, 5, 10].; input: [8, 2, 9, 3, 9] , [4, 2, 2, 3, 10]
output: (2,3)
explanation: Your answer should be a list of numbers inside brackets, not other symbols.
Task: Given a scientific question, generate a correct answer to it.
Categories: Question Answering
Domains: Natural Science -> School Science Textbooks
Reasoning: Commonsense Reasoning; Scientific Reasoning

Positive examples:
input: Who proposed the theory of evolution by natural selection?
output: darwin
explanation: This is a direct fact that Charles Darwin proposed the theory of evolution.; input: What is an area of land called that is wet for all or part of the year?
output: wetland
explanation: A wetland is an area that is wet throughout the year. Wetlands are classified into marshes, swamps, bogs and fens.

Negative examples:
input: Fluid in the pseudocoelom serves as a hydrostatic what?
output: muscles
explanation: Fluid in the pseudocoelom serves as a hydrostatic skeleton and not muscles. ; input: What can refer to a rope in a particular shape and a genetic structure involved in splicing?
output: noose
explanation: A lariat can refer to a rope in the form of a lasso. But it is also a genetic structure involved in splicing. Noose however is only a structure created out of rope.
Task: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Categories: Question Rewriting
Domains: Wikipedia

Positive examples:
input: Who did the Han Chinese want to help the Khitan no I mean the Mongols fight?
output: Who did the Han Chinese want to help the Mongols fight?
explanation: The input initially means Khitan and then changes to Mongols, hence this is correct.; input: What part did no I meant how many chapters have coordinating lead authors?
output: How many chapters have coordinating lead authors?
explanation: The input initially means which part, and then changes to how many chapters. Hence this is correct.; input: How did no Who masterminded many terror attacks?
output: Who masterminded many terror attacks?
explanation: The input initially means how and then changes to who, hence this is correct.

Negative examples:
input: Where is the oldest known sedimentary sequence or rather rock in the world located?
output: How is the oldest known rock in the world located?
explanation: The output changes the interrogative word from the input.; input: For how many years had sea levels been studied in the 2001 report no temperatures?
output: For how many years had sea levels been studied in the 2001 report?
explanation: The input initially means sea levels and then changes to temperature, but the output does not reflect that.; input: The contrast of what no the second item of business on Wednesdays is usually what?
output: The contrast of business on Wednesdays is usually what?
explanation: The input initially means the constrast of and then changes to the second item, but the output does not reflect that.
Task: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Gracias.
output: Grazas.
explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved.; input: Ahora, aquí nos falta algo, porque no creo que gente como Max Vision deba estar en la cárcel.
output: Pero aquí falta algo, porque non creo que xente como Max Vision deba estar no cárcere.
explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved.; input: Para ver — - esperen un momento, podemos zambullirnos aquí mismo, ja — bajo el mar, ver lo que las ballenas ven.
output: Para ver — un momento, podémonos mergullar! — aqui mesmo — baixo o océano, ver o que as baleas ven.
explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved.

Negative examples:
input: Si la obesidad no es más que una cara falsa de la enfermedad metabólica, ¿Qué bien hacemos al castigar esa cara falsa?
output: E sei que iso é aterrador, enténdoo, pero tamén sei, e esta experiencia amósanolo, que temos a tecnoloxía e temos a capacidade para gañar esta batalla, para gañar e ter vantaxe sobre os virus.
explanation: The Spanish sentence is not correctly translated into Galician, because the meaning is different.; input: El primer trabajo que tuvo en el negocio del safari fue arreglar los camiones de safari.
output: O primeiro emprego que tivo no negocio dos safaris era reparar os camións.
explanation: The Spanish sentence is not correctly translated into Galician, because the meaning is different.; input: Y sé que esto es aterrador, lo sé. Pero sé también, y esta experiencia nos muestra, que contamos con la tecnología y la capacidad para ganar la batalla para vencer esto y sacar ventaja a los virus.
output: Se a obesidade non é máis que un representante das enfermidades metabólicas, en que axuda castigar ao representante?
explanation: The Spanish sentence is not correctly translated into Galician, because the meaning is different.
Task: This task is about translating a given Spanish language sentence to English.
Categories: Translation
Domains: Captions -> Video Captions

Positive examples:
input: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:
output: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.
explanation: This is a good example because the Spanish sentence has been translated correctly to English.; input: Otros ejes.
output: Another coordinate axes.
explanation: This is a good example because the Spanish sentence has been translated correctly to English.; input: Así que la ventaja global es una sexta parte, y la sexta es realmente un número no despreciable, que es en realidad una bastante grande número, lo que básicamente significa que esto una era capaz de distinguir la salida. Veremos decir que una rompe el generador g con ventaja 1/6.
output: And so the overall advantage is one-sixth, and one-sixth is actually a non-negligible number, that's actually a fairly large number, which basically means that this a was able to distinguish the output.
explanation: This is a good example because the Spanish sentence has been translated correctly to English.

Negative examples:
input: Si alguien está dispuesto a pagar más que eso, quizás la venderíamos.
output: Or the snow covered mountains?
explanation: This is a bad example because the Spanish sentence has not been translated correctly to English.; input: Esto se llama la regla del Octeto Porque esos átomos quieren completar sus octetos de electrones para sentirse felices y completos el Oxígeno tiene 6 electrones en su capa más superficial
output: You can't know very much about everything and so your opinion relies on the base upon... bullshit
explanation: This is a bad example because the Spanish sentence has not been translated correctly to English.
Task: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Aquí esta la medusa ala-x de la muerte.
output: 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.; input: Pero el final de todos esos viajes en globo fue, sabes — parecía que siempre había algo que iba mal. y en esa ocasión en concreto estaba conmigo el aeróstata con más experiencia, saltó y me dejó agarrado con todas mis fuerzas con mi vida en juego.
output: Ma la fine di quei viaggi in mongolfiera fu, capisci — sembrava che qualcosa andasse continuamente storto, e in quella occasione il mongolfierista più esperto che era con me, saltò e mi lasciò lì a lottare per la mia vita.
explanation: The Spanish sentence is correctly translated into Italian, because the meaning is preserved.; input: Deberían haber comenzado con la Z.
output: Avreste dovuto cominciare con Z.
explanation: The Spanish sentence is correctly translated into Italian, because the meaning is preserved.

Negative examples:
input: y comparten esta majestuosidad con un cerdo muy grande.
output: Quello su cui ho lavorato negli ultimi quattro anni è lo sviluppo di biomateriali intelligenti, materiali che possano lavorare con il corpo aiutandolo a guarire e aiutandolo a guarire le ferite naturalmente.
explanation: The Spanish sentence is not correctly translated into Italian, because the meaning is different.; input: Y eso está representado en esta diapositiva. Esta es su piel.
output: come rappresentato in questa immagine. Questa è la vostra pelle.
explanation: The Spanish sentence is not correctly translated into Italian, because the meaning is different.; input: En los últimos cuatro años he estado trabajando en el desarrollo de biomateriales inteligentes, que son materiales biocompatibles que ayudan a sanar el cuerpo y consiguen que las heridas cicatricen por si solas.
output: E condividevano questo grande splendore con un enorme maiale.
explanation: The Spanish sentence is not correctly translated into Italian, because the meaning is different.
Task: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.
output: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.
explanation: The Spanish sentence is correctly translated into Portugese, because the meaning is preserved.; input: Si vemos el bienestar público contra las ganancias privadas, la respuesta es completamente distinta: la conservación tiene más sentido y no la destrucción.
output: Se virem pela perspectiva da riqueza pública em vez da perspectiva dos lucros privados, têm uma resposta completamente diferente, que é claramente que a conservação faz mais sentido, e não a destruição.
explanation: The Spanish sentence is correctly translated into Portugese, because the meaning is preserved.; input: Este es mi ejemplo perfecto de la contraintuitividad del mundo cuántico.
output: Este é o meu exemplo perfeito do contraintuitivo do mundo quântico.
explanation: The Spanish sentence is correctly translated into Portugese, because the meaning is preserved.

Negative examples:
input: Y lo que aquí mostramos, como en este caso, es que hay pocas personas afectadas, cada vez más y más hasta llegar aquí, y aquí es el pico de la epidemia.
output: E a luz que brilhou dos seus olhos era um lugar onde eu poderia estar para sempre.
explanation: The Spanish sentence is not correctly translated into Portugese, because the meaning is different.; input: Esto es en realidad sólo el 1.5% de lo que será la pantalla terminada en Mayo.
output: Na verdade, isto é apenas cerca de 1,5% do que o ecrã será em maio.
explanation: The Spanish sentence is not correctly translated into Portugese, because the meaning is different.; input: Pude haberme quedado eternamente en la luz que emanaba de sus ojos.
output: E o que mostramos aqui é - como, aqui - muito poucas pessoas são afectadas, e mais e mais e mais até aqui, e aqui está o pico da epidemia.
explanation: The Spanish sentence is not correctly translated into Portugese, because the meaning is different.
Task: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: מונטריי היא אחת מהם.
output: Monterey is one of those.
explanation: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מונטריי`.; input: וסימטריה חמישית: אני יכול לסובב אותו חמש שישיות סיבוב.
output: And a fifth symmetry, I can rotate it by five sixths of a turn.
explanation: The Hebrew sentence is correctly translated into English, because the meaning is preserved.; input: (צחוק) כן.
output: (Laughter) Yeah.
explanation: The Hebrew sentence is correctly translated into English, because the meaning is preserved.

Negative examples:
input: אם האובססיה שלי היתה חיי נצח, האובססיה של נאביד היתה מגע.
output: However, through a network of state-owned enterprises, the Chinese have been able to go into these rural areas, using their companies to help deliver on these healthcare solutions.
explanation: The Hebrew sentence is not correctly translated into English, because the meaning is different.; input: גם לכך אנו לא יודעים את התשובה, אבל נלמד את התשובה הזו השנה, הודות לטלסקופ החלל של נאסא, "" קפלר "", ולמעשה, ההימור הבטוח מבחינת האנשים שעבדו על המיזם הזה, ההימור הבטוח הוא להניח שאחוז כוכבי הלכת האלה שעשוי לקיים חיים הוא אולי אחד מאלף, אחד ממאה, משהו כזה.
output: We don't know the answer to that either, but we will learn that answer this year, thanks to NASA's Kepler Space Telescope, and in fact, the smart money, which is to say the people who work on this project, the smart money is suggesting that the fraction of planets that might be suitable for life is maybe one in a thousand, one in a hundred, something like that.
explanation: The Hebrew sentence is not correctly translated into English, because the meaning is different.; input: אבל באמצעות רשת של מיזמים בבעלות של המדינה, הסינים הצליחו להגיע לאזורים כפריים אלה, וניצלו את החברות שלהם כדי לסייע באספקת אותם פתרונות בריאותיים.
output: If my obsession was eternal life, Navid's obsession was touch.
explanation: The Hebrew sentence is not correctly translated into English, because the meaning is different.
Task: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Categories: Translation
Domains: Web

Positive examples:
input: Igbo sentence: Olee kwere omume?
output: How is this possible
explanation: The English translation means the same as the original sentence in the Igbo language.; input: Igbo sentence: ututu oma onye obula
output: good morning everyone
explanation: The output is the exact English translation of the input Igbo text.; input: Igbo sentence: Agara m ịhụ mwepụta nke Apollo 5
output: I went to see the launch of the Apollo 5
explanation: The English translation exactly means the same as the input Igbo sentence.

Negative examples:
input: Igbo sentence: Sebastian Vettel na -anya ụgbọ ala maka Aston Martin
output: Aston Martin is married to Sebastian Vettel
explanation: The English translation is not all relevant to the original Igbo sentence.; input: Olileanya bụ ihe dị mma
output: Hope is not a good thing
explanation: The English translation actually implies the exact opposite meaning of the input Igbo sentence; input: Igbo sentence: Eri m nri sanwichi maka nri abalị
output: I'm eating a sandwich for dinner
explanation: Even though the meaning is almost the same, the English translation changes the tense from past to present
Task: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
output: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
explanation: The Italian sentence is correctly translated into Japanese, because the meaning is preserved.; input: Quanti usano Deskbar?
output: Deskbar を使っている方 ？
explanation: The Italian sentence is correctly translated into Japanese, because the meaning is preserved.; input: Dovremmo abituarli a considerare l'accudimento affascinante per gli uomini.
output: 家庭を守ることはかっこいいことだと思わせるよう変えていくべきです
explanation: The Italian sentence is correctly translated into Japanese, because the meaning is preserved.

Negative examples:
input: E ricevetti una email da un editore della Random House con oggetto, "" Ottimo lavoro! "" Punto esclamativo.
output: でもある種の情熱がありましたそれは次の段階 ― マイクロソフト後の人生では慈善事業に従事するということです
explanation: The Italian sentence is not correctly translated into Japanese, because the meaning is different.; input: Un gruppo molto eterogeneo di persone.
output: とても多様な人々のグループです
explanation: The Italian sentence is not correctly translated into Japanese, because the meaning is different.; input: Ma avevamo un certo entusiasmo che la fase, la fase post-Microsoft sarebbe stata la nostra unione filantropica.
output: するとランダムハウスの編集者からメールが届きましたタイトルに「ステキな作品ですね ！ 」びっくりマークつきです
explanation: The Italian sentence is not correctly translated into Japanese, because the meaning is different.
Task: In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Categories: Sentence Composition
Domains: Miscellaneous

Positive examples:
input: dust
output: Another one bites the dust.
explanation: The output sentence is grammatically correct and contains the given word. Hence, it is a valid response to the question.; input: project
output: Insecure people tend to project their insecurities onto others.
explanation: The output sentence is grammatically correct and contains the given word. Hence, it is a valid response to the question.; input: donate
output: The millionare donated a fortune to a cancer relief organization.
explanation: The output sentence is grammatically correct and contains the given word, albeit in a different tense ('donated' instead of 'donate'). Hence, it is a valid response to the question.; input: fly
output: The eagle was flying across the river bank.
explanation: The output sentence is grammatically correct and contains the given word, albeit in a different tense ('was flying' instead of 'fly'). Hence, it is a valid response to the question.

Negative examples:
input: ruler
output: True.
explanation: The output sentence does not contain the given word.; input: driver
output: Home went driver.
explanation: While the output contains the word, it is not a grammatically valid sentence.; input: small
output: Ants are tiny.
explanation: The output sentence does not contain the given word.