ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Categories: Paraphrasing
Domains: Miscellaneous

Positive examples:
input: Giraffes like Acacia leaves and hay, and they can consume 75 pounds of food a day.
output: A giraffe can eat up to 75 pounds of Acacia leaves and hay daily.
explanation: Input and output sentence have same meaning in different words.; input: He has tons of stuff to throw away.
output: He needs to get rid of a lot of junk.
explanation: Input and output sentence have same meaning in different words.; input: Any trip to Italy should include a visit to Tuscany to sample the region's exquisite wines.
output: Be sure to make time for a Tuscan wine-tasting experience when visiting Italy.
explanation: Input and output sentence have same meaning in different words.

Negative examples:
input: Giraffes like Acacia leaves and hay, and they can consume 75 pounds of food a day.
output: A giraffe can eat up to 75 pounds of Cassia leaves and hay daily.
explanation: Output sentence rephrases the input sentence. However, it changed the name of tree, i.e., Alacia to Cassia, which is not acceptable because input sentence does not talk about Cassia and hence it changes the meaning of output.; input: He has tons of stuff to throw away.
output: He needs to get rid of a lots of poeple.
explanation: Output sentence rephrases the input sentence. However, it talks about the people which changes the meaning because people and stuff cannot be same.; input: Any trip to Italy should include a visit to Tuscany to sample the region's exquisite wines.
output: Be sure to make time for a Turin wine-tasting experience when visiting Italy.
explanation: Output sentence rephrases the input sentence. However, it changed the main entity of the input, i.e., Tuscany to Turin, which is not appropriate because it is possible that wine is not famous in Turin. Hence, output does not have same meaning as input.
Task: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
output: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
explanation: The Polish sentence is correctly translated into Galician, because the meaning is preserved.; input: Na szczęście, nie podążył śladami swojego poprzednika i nie powiedział nam, byśmy po prostu poszli na zakupy.
output: Por sorte, el non seguiu os pasos do seu predecesor, e non nos dixo que bastaba con ir de compras.
explanation: The Polish sentence is correctly translated into Galician, because the meaning is preserved.; input: Chodź tutaj.
output: Ven acó.
explanation: The Polish sentence is correctly translated into Galician, because the meaning is preserved.

Negative examples:
input: A teraz brrrrrrrrrrrr, tak jak dzieci.
output: Non deixaba de intentar alimentarme con pingüíns.
explanation: The Polish sentence is not correctly translated into Galician, because the meaning is different.; input: (Muzyka) Znowu, widzicie ten piękny język ciała. (Muzyka)
output: (Música) Outra vez vedes a bonita linguaxe corporal. (Música)
explanation: The Polish sentence is not correctly translated into Galician, because the meaning is different.; input: Ale nie przestawała karmić mnie pingwinami.
output: E agora, “brrrrrrrrr ”, coma se fosen rapaces.
explanation: The Polish sentence is not correctly translated into Galician, because the meaning is different.
Task: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
Categories: Program Execution
Domains: Code -> Repo -> Stack Overflow
Reasoning: Mathematics -> Arithmetic

Positive examples:
input: [7, 1, 5, 8, -4]
output: [6, 4, 3, 12]
explanation: The output is a list of the absolute value of the differences of every two consecutive values. So this is a good example.; input: [4, -7, -5]
output: [11, 2]
explanation: The absolute values of the differences are returned. So this is a good example

Negative examples:
input: [9, 6, -5]
output: [-3, -11]
explanation: The output is not the absolute value of difference. So this is a bad example.; input: [-5, 9, 1, 3, 3]
output: [-14, -15, -18, -21]
explanation: The output is the result of subtracting the first element in the list by every other element in the list. So this is a bad example
Task: Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Categories: Sentiment Analysis
Domains: Social Media
Reasoning: Reasoning on Social Interactions

Positive examples:
input: Poster: Stopped by Fashion Week and got to hang with Amber Fillerup (Barefoot Blonde) at Lauren Conrad's runway show. Kohl's #LCRunway   Responser: You are Both Sweet Ashley Tisdale and Lauren Conrad
output: Positive
explanation: The responser is praising the poster.; input: Poster: Well guys, real progress is happening. I'm 50 pages in and the story is really starting to get under my skin. It's all tingly...   Responser: Give us the first page to read. ONE PAGE.
output: Mixed
explanation: The reponser is asking for sharing the story. The sentiment of the text is mixed.; input: Poster: Best #makeup from the Golden Globes according to Harper's Bazaar. Everyone's looks are so on point, I love it! What do you think? Any favorites? http://bit.ly/1TYqXyx #makeup #PaulaAbdul #GoldenGlobes #Glam #GlamSquad  Responser: Just Click The Link https://youtu.be/ZD4jv21GjrM?list=PLcoZ3RVu8AMRkw5dWSnmTB61z0bYMJ3Wv
output: Neutral
explanation: Provide a link. No special sentiment.; input: Poster: Former detective Harry Houck tells New Day, there's no excessive force problem, there's a resisting arrest problem and "we don't get paid to get killed." #NewDay'  Responser: We don't get paid to"... Cops think if there is any danger it's justification to kill. If their only skill is shooting the public, they shouldn't be a cop. There is a mentality of wanting to be a cop, that should automatically eliminate them from consideration.
output: Negative
explanation: Talk about shooting and kill.

Negative examples:
input: Poster: GOOD Night.... Go to Sleep.... God's Up and He's got it all worked out!  Responser: Thank you. I've had a very rough couple of weeks. This put ease to my mind.
output: Neutral
explanation: The reponser is expressing appreciation to the poster. It's positive sentiment.; input: Poster: If you don't know you better ask somebody #theneighbor Get it NOW  Responser: I just saw it, new genre for you
output: Positive
explanation: State the fact with no special sentiment. It's Neutral.
Task: Given a sentence in Chinese, provide an equivalent paraphrased translation in Japanese that retains the same meaning both through the translation and the paraphrase.
Categories: Translation
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年の全米バスケットボール協会のシーズンは、NBAの第30シーズンでした。
explanation: This is a correct and accurate translation from Chinese to Japanese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: 当可以保持相当的流速时，结果很高。
output: 匹敵する流速を維持することができるとき、結果は高いです。
explanation: The resulting paraphrased translation from Chinese to Japanese 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，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、彼はパリでイギリスの大使ニコラス・スローモートンと密かに会い、イングランドを通ってスコットランドに戻るためのパスポートを求めた。
explanation: This is not a proper translation from Chinese to Japanese because the resulting translation is not accurate to the original idea in which the locations of England and Scotland are not accurate.; input: 还有具体的讨论，公众形象辩论和项目讨论。
output: パブリックディスカッション、プロファイル固有のディスカッション、およびプロジェクトディスカッションもあります。
explanation: This translated paraphrase from Chinese to Japanese is incorrect because the resulting translation does not reflect the actual topics of dicussion and debate relating to profiles and projects.
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
Categories: Translation
Domains: Wikipedia

Positive examples:
input: Quants punts va cedir la defensa dels Panthers?
output: How many points did the Panthers defense surrender?
explanation: This is a good English translation because it conveys the same meaning as the Catalan question.; input: Quants sacs de carrera va tenir Jared Allen?
output: How many career sacks did Jared Allen have?
explanation: This is a good English translation because it conveys the same meaning as the Catalan question.

Negative examples:
input: Quants placatges va registrar Luke Kuechly?
output: How many balls did Luke Kuechly kick?
explanation: This is not a good translation, because the meaning of the question is different. The translation should be "How many tackles did Like Kuechly register?"; input: Quantes pilotes va interceptar Josh Norman?
output: How many career sacks did Josh Norman have?
explanation: This is not a good translation, because the meaning of the question changed. The translation should be "How many balls did Josh Norman intercept?"
Task: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: אתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.
output: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند
explanation: The Hebrew sentence is correctly translated into Farsi, because the meaning is preserved.; input: אתם יודעים, האם יש שם באמת משהו בחוץ?
output: می ‌ دونید ، آیا واقعا یک چیزی آن بیرون وجود داره ؟
explanation: The Hebrew sentence is correctly translated into Farsi, because the meaning is preserved.; input: 100% מהם המשיכו לקולג '.
output: صد در صد اونها به كالج رفتند.
explanation: The Hebrew sentence is correctly translated into Farsi, because the meaning is preserved.

Negative examples:
input: על מנת לאפשר חוזק וקלות משקל, שלד הכיפה נבנה מחמש טבעות של תקרת קסטה, בקוטר הולך וקטן, שנותן אפקט דרמטי לעיצוב הכיפה.
output: در نتیجه اکسی توسین مارا به دیگران متصل میکنه.
explanation: The Hebrew sentence is not correctly translated into Farsi, because the meaning is different.; input: חלק ממנו ילך בכיוונים שונים.
output: برخی از آنها در راستای دیگری خواهند بود.
explanation: The Hebrew sentence is not correctly translated into Farsi, because the meaning is different.; input: כך שאוקסיטוצין מחבר אותנו לאנשים אחרים.
output: برای استحکام و سبکی ، اسکلت گنبد از پنج حلقه چوبی استفاده کردند ، که اندازه ‌ هرکدامشان کوچک شده ، تا چشم انداز مهیجی را به طراحی گنبد دهد.
explanation: The Hebrew sentence is not correctly translated into Farsi, because the meaning is different.
Task: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Categories: Translation
Domains: Miscellaneous

Positive examples:
input: سم ، خوبي ، تو حالت خوبه .
output: sam . alright , youre alright .
explanation: This is a good example. The above sentence is correctly translated from Persian to English.; input: احتمال هست که بخواي زودتر بري .
output: any chance you could make it any sooner than that .
explanation: This sentence is translated correctly.; input: حقيقت نداره
output: it's not true.
explanation: The above sentence is correctly translated from Persian to English.

Negative examples:
input: آقاي اسميت ، واقعا که نميخواي در مورد من اينقدر بدوني .
output: you really dont want to know about mr. smith.
explanation: This translation is incomplete. Hence it's not acceptable.; input: ميخوام بري بيرون .
output: i need them to leave .
explanation: This translation is incorrect.
Task: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Ora, lungo il percorso, George segnala che la sua tecnologia, la tecnologia della biologia sintetica, sta accelerando molto più velocemente del tasso previsto dalla Legge di Moore.
output: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
explanation: The Italian sentence is correctly translated into Portugese, because the meaning is preserved.; input: Dov'erano gli elementi che ci hanno permesso di nascondere tutto ciò?
output: Quais foram as coisas que nos permitiram esconder isso?
explanation: The Italian sentence is correctly translated into Portugese, because the meaning is preserved.; input: Come si vive all'interno della distrazione?
output: Como é que se pode viver dentro da distracção?
explanation: The Italian sentence is correctly translated into Portugese, because the meaning is preserved.

Negative examples:
input: Ma se prendessimo il 30%, queste 300 persone, e ci facessimo indicare i loro amici e vaccinassimo oltre alle 300 persone anche 300 dei loro amici, si otterrebbe lo stesso livello di immunità del gregge come se ne avessimo vaccinato il 96% con un'efficienza maggiore, ed un budget molto limitato.
output: Mas vou dizer-vos o que a minha gente fez.
explanation: The Italian sentence is not correctly translated into Portugese, because the meaning is different.; input: Per coloro che sono affetti da disabilità — i paraplegici — c'è l'era dell'interfaccia cervello-computer, o BCI, dove i chip vengono inseriti nella corteccia motoria di pazienti completamente quadriplegici, e possono controllare una sedia a rotelle o, più avanti, un braccio robotico.
output: Para aqueles que têm deficiências - os paraplégicos - há a era do interface cérebro-computador, ou ICC, onde chips foram colocados no córtex motor de doentes completamente tetraplégicos e eles podem controlar um cursor ou uma cadeira de rodas ou, eventualmente, um braço robô.
explanation: The Italian sentence is not correctly translated into Portugese, because the meaning is different.; input: Ma vi racconterò cosa ha fatto la mia gente.
output: Mas se pegássemos nesses 30 porcento, essas 300 pessoas, e lhes pedíssemos que nomeassem os seus amigos e pegássemos no mesmo número de doses de vacinas e vacinássemos os amigos dos 300, os 300 amigos podiamos obter o mesmo nível de imunidade de multidão como se tivéssemos vacinado 96 porcento da população com muito maior eficiência, com um orçamental apertado.
explanation: The Italian sentence is not correctly translated into Portugese, because the meaning is different.
Task: Given a sentence in Russian, generate a new Russian 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.
Categories: Sentence Perturbation
Domains: Commonsense; Knowledge Base -> Wikidata

Positive examples:
input: Девушка может одолжить тебе денег.
output: Университет может заработать тебе денег.
explanation: This is a good change in the input, because it is semantically similar to the input as both are talking about gaining some money and the output sentence follows the commonsense knowledge.; input: Ты бы увидела свое плохое шоу, потому что у тебя есть посредственные комиксы.
output: Ты увидишь свое глупое шоу, потому что у тебя черная ДНК.
explanation: The output sentence is semantically related to the input sentence as both are talking about others' bad show and follows the commonsense. Hence, the answer is correct.

Negative examples:
input: Озеро — это большой водоем, окруженный землей.
output: Озеро - это большая масса песка, окруженная сушей.
explanation: The output is semantically similar to the input but it does not follow the commonsense as lake is always made of water, not sand.; input: Результат ожидания семьи оптимизирует вашу жизненную кривую.
output: Если ты решишь увеличить свой бренд, ты должен заработать немного денег.
explanation: The output has the commonsense but it is not semantically related or similar to the input. Hence, the answer is incorrect.
Task: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
Categories: Translation
Domains: News; TED Talks; Wikipedia

Positive examples:
input: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
output: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
explanation: English sentence is properly converted into Hindi sentence because the input also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers.; input: Even a concentration of 0.001 ppm of hydrogen sulphide in the water can emit the smell of rotten egg .
output: यहां तक कि पानी में हाइड्रोजन सल्फाइड की 0.001 पी पी एम मात्रा से भी सड़े हुए अंडे की बदबू आती है ।
explanation: English sentence is properly converted into Hindi sentence because the input also says that even a 0.001 ppm quantity of hydrogen sulphide in water can produce a rotten egg odour. Also, it preserves the number as it is in the translation.; input: The then Governor of Kashmir resisted transfer , but was finally reduced to subjection with the aid of British .
output: कश्मीर के तत्कालीन गवर्नर ने इस हस्तांतरण का विरोध किया था , लेकिन अंग्रेजों की सहायता से उनकी आवाज दबा दी गयी|
explanation: English sentence is properly converted into Hindi sentence because the input also talks about how the Governor of Kashmir opposed the transfer, but with the support of the British, he was eventually forced to submit.

Negative examples:
input: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
output: पहले दो को विश्वसनीय मानकर बाकी सात मुखबिरों के आधार पर मुकदमा चलाया गया|
explanation: The conversion of English to Hindi is wrong because output says there are seven approvers, however, there are five. Also, the first two were found unreliable and output says it is reliable which is wrong.; input: But after his demise, his bother Sardar Vallabh Bhai Patel did not accept this will and filed a case in the court.
output: मगर उनके निधन के पश्चात उनके पिता सरदार वल्लभ भाई पटेल ने इस वसीयत को स्वीकार नहीं किया और उसपर अदालत में मुकदमा।
explanation: The conversion of English to Hindi is wrong because output is not complete and it was his brother not father.; input: The then Governor of Kashmir resisted transfer , but was finally reduced to subjection with the aid of British .
output: कश्मीर के तत्कालीन गवर्नर ने इस हस्तांतरण का समर्थन किया था , लेकिन अंग्रेजों की सहायता से उनकी आवाज दबा दी गयी|
explanation: The conversion of English to Hindi is wrong because the Governor of Kashmir did not support transfer but he opposed it.
Task: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Spanish 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 Spanish language. 2) Also names, dates and places should be preserved it should not get translated.
Categories: Translation
Domains: Books

Positive examples:
input: Sense and Sensibility
output: SENTIDO Y SENSIBILIDAD
explanation: The word 'Sense' and 'Sensibility' in English language translate to 'sentido' and 'Sensibidad' in Spanish.The translation is correct.; input: Jane Austen
output: JANE AUSTEN
explanation: The name entity is preserved.The translation is correct.; input: The family of Dashwood had long been settled in Sussex.
output: La familia Dashwood llevaba largo tiempo afincada en Sussex.
explanation: The word 'Family' in english means 'familia' in Spanish and also the name entity 'Dashwood' is preserved.; input: His attachment to them all increased.
output: Su apego a todos ellos fue creciendo con el “tiempo.
explanation: The word 'attachment' and 'increased' in Spanish means 'apego' and 'creciendo' respectively.So the translation is correct.

Negative examples:
input: CHAPTER 1
output: CAPÍTOL I
explanation: The 'chapter 1' in English means 'capitulo I' in Spanish so the output is incorrect.'capitol I' is in catalan language which is smiliar to Spanish.; input: But Mrs. Dashwood was alike uninfluenced by either consideration.
output: Però la senyora Dashwood no va estar influïda per cap de les consideracions.
explanation: The word 'consideration' in English is 'consideraciones' in Spanish. So the input is incorrect.