ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
Categories: Word Semantics
Domains: Game -> Card Game

Positive examples:
input: excavator, crane, pelican, hoist, upraise
output: pelican
explanation: The common category here are words related to construction. A pelican is not related to construction because it is a type of bird.; input: annoyed, fine, ok, jail time, calm
output: jail time
explanation: The common category here is 'emotional states'. The word 'jail time' is not an emotion that a person feels and is the time one must serve in jail after being convicted guilty of crime. ; input: cat, push, sheep, duck, lion
output: push
explanation: The common category here is 'animals'. The word 'push' is not an animal and is an act of exerting force.

Negative examples:
input: jab, punch, corner, joker, deck
output: punch
explanation: The common category here is 'boxing terminology'. The word 'punch' is a boxing term that means to strike with a fist. The correct answer is 'joker', which is a different word for a comedian.; input: bridge, gin, canasta, vodka, uno
output: canasta
explanation: The common category here is 'card games'. Canasta is a card game of the rummy family. The correct answer is 'vodka', which is an alcoholic beverage.
Task: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Afinal de contas elas é que decidem, e decidiram mesmo.
output: אחרי הכל, הם החליטו, והם עשו,
explanation: The Portugese sentence is correctly translated into Hebrew, because the meaning is preserved.; input: Mesmo assim, apercebo-me que a maioria das pessoas tem pouca paciência para as minhas dificuldades na fala.
output: אפילו אז, אני מודע שלרוב האנשים יש סבלנות קצרה למוגבלות הדיבור שלי.
explanation: The Portugese sentence is correctly translated into Hebrew, because the meaning is preserved.; input: Agora, podem já estar a dizer sobre vós: "" Não sou interessante.
output: כעת, אתם כבר רשאים לומר על עצמכם, "" אני לא מסקרן.
explanation: The Portugese sentence is correctly translated into Hebrew, because the meaning is preserved.

Negative examples:
input: Chama-se uma prisão.
output: כמה שנות הגנה אני צריך?
explanation: The Portugese sentence is not correctly translated into Hebrew, because the meaning is different.; input: Mas foi certamente um período difícil.
output: אבל זו בהחלט הייתה תקופה קשה.
explanation: The Portugese sentence is not correctly translated into Hebrew, because the meaning is different.; input: Quantos anos de cobertura é que eu preciso?
output: היא נקראת כלא.
explanation: The Portugese sentence is not correctly translated into Hebrew, because the meaning is different.
Task: In this task, you will be presented with a question having multiple possible answers in Polish 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: Major Tom chciał zachować broń. Tak samo niebezpieczny jak oni, czuł, że mogą mieć co w przyszłości? 
 Options: (A) Odpady (B) Ulica (C) ruina (D) gnić (E) Użyj 
output: E
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: Dlaczego dana osoba miałaby zostać w swojej pracy bez wynagrodzenia? 
 Options: (A) dzięki Bogu (B) czekać w kolejce (C) cieszyć się pracą (D) oferować pomoc (E) Wolontariusz 
output: C
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: Wentylator elektryczny stał się zbyt głośny i przeszkadzał innym, choć pozwolili na wiele osobistych rzeczy na biurkach, które musiał wyłączyć gdzie? 
 Options: (A) Szafa (B) Przedpokój (C) Biuro (D) dom (E) gorący pokój 
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: To był popularny i powszechny prezent w tym roku, więc skierował się do tego, co łatwo byłoby znaleźć? 
 Options: (A) choinka (B) świąteczne zarybianie (C) sklep specjalistyczny (D) dom towarowy (E) Szafa 
output: D
explanation: The predicted answer is correct because out of given many options only department stores are easy to find.; input: Question: Gabinet stomatologiczny obsłużył wielu pacjentów, którzy doświadczyli traumatycznych urazów jamy ustnej, skąd pochodzili ci pacjenci? 
 Options: (A) Miasto (B) Szpital (C) biurowiec (D) szkoły (E) michigan 
output: B
explanation: This is the correct answer because the traumatic injuries are generally handled by the hospitals.

Negative examples:
input: Question: John nie wiedział, co dostać dla nikogo. Kupowanie prezentów bożonarodzeniowych było dla niego stresujące, a wykończenie było co? 
 Options: (A) Szczęście (B) Odciążenie (C) bardzo smutny (D) brak pieniędzy (E) Zadłużenie 
output: A
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 (B).; input: Question: Kiosk z biletami poinformował jeźdźców, że pociąg spóźnia się, więc gdzie znajdowała się kiosk z biletami? 
 Options: (A) teatr filmowy (B) arena sportowa (C) szkoła (D) stacja metra (E) Audytorium 
output: B
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: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: 人の脳の何がそんなに特別なのでしょうか ？
output: מה מייחד את המוח האנושי?
explanation: The Japanese sentence is correctly translated into Hebrew, because they both refer to the human brain.; input: 以上で終わりです
output: .וזה הסוף
explanation: The Japanese sentence is correctly translated into Hebrew, because the meaning is preserved.; input: 必要なければ窓で光に再変換して直線上にある他の人のところへビームできます
output: ואם אני לא זקוק לה, אני יכול להמיר אותה בחזרה לחלון לאנרגיה, אור, ולהקרין אותה, למרחק ראייה, לבית שלכם.
explanation: The Japanese sentence is correctly translated into Hebrew, because the meaning is preserved.

Negative examples:
input: 株式の保有によってうまくいくかもしれません
output: "מה, אמא?"
explanation: The Japanese sentence is not correctly translated into Hebrew, because the meaning is different.; input: すべての車が再び戻ってきていてすぐに適応したドライバーは賞賛に値します本当に早く適応しています
output: כל המכוניות חזרו, אתם חייבים להעריץ את נהגי המכוניות. הם מסתגלים מאוד מהר.
explanation: The Japanese sentence is not correctly translated into Hebrew, because the meaning is different.; input: 「何よママ ？ 」
output: זה יכול לקרות לדוגמא דרך מניות.
explanation: The Japanese sentence is not correctly translated into Hebrew, the `mom` is translated as `dad`.
Task: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: 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
output: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
explanation: The Japanese sentence is correctly translated into Italian, because the meaning is preserved.; input: Deskbar を使っている方 ？
output: Quanti usano Deskbar?
explanation: The Japanese sentence is correctly translated into Italian, because the meaning is preserved.; input: 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
output: Dovremmo abituarli a considerare l'accudimento affascinante per gli uomini.
explanation: The Japanese sentence is correctly translated into Italian, because the meaning is preserved.

Negative examples:
input: 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
output: Ma avevamo un certo entusiasmo che la fase, la fase post-Microsoft sarebbe stata la nostra unione filantropica.
explanation: The Japanese sentence is not correctly translated into Italian, because the meaning is different.; input: とても多様な人々のグループです
output: Un gruppo molto eterogeneo di persone.
explanation: The Japanese sentence is not correctly translated into Italian, because the meaning is different.; input: 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
output: E ricevetti una email da un editore della Random House con oggetto, "" Ottimo lavoro! "" Punto esclamativo.
explanation: The Japanese sentence is not correctly translated into Italian, because the meaning is different.
Task: You are given an original reference as well as a system reference. Your task is to judge the informativeness of the system reference. If the utterance provides all the useful information from the meaning representation output 1, else output 0.
Categories: Text Quality Evaluation
Domains: Dialogue; Public Places -> Restaurants
Reasoning: Textual Entailment -> Deductive Reasoning

Positive examples:
input: System Reference: x is a reasonably priced fast food restaurant down by river cheap.
Original Reference: x is a cheap fastfood restaurant located near the riverside.
output: 1
explanation: The system reference provides all the useful information.; input: System Reference: what area are you looking for?
Original Reference: where do you want to dine?.
output: 0
explanation: The system reference provides very little useful information.

Negative examples:
input: System Reference: x is a reasonably priced fast food restaurant down by river cheap.
Original Reference: x is a cheap fastfood restaurant located near the riverside.
output: 5.5
explanation: The informativeness has to be 1 or 0.; input: System Reference: x is a restaurant that serves italian serving fashionable and it english cafe food.
Original Reference: x restaurant is a cafe which serves english food.
output: I dont know
explanation: Do not output anything other than 1 or 0.
Task: The provided text is in English, and we ask you to translate the text to the Croatian language. Please bear in mind the following guidelines while translating: 1) We want a natural translation, a formal form. 2) Use the symbols like '#@%$-+_=^&!*' as-is. *Include* the special characters as suited when translating to Croatian. 3) Quantities like millions or billions should be translated to their equivalent in Croatian language 4) Note the input is all case-sensitive except for special placeholders and output is expected to be case-sensitive. 5) The output must have Croatian characters like Ž or č and the output must preserve the Croatian language characters. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: I want you now to imagine a wearable robot that gives you superhuman abilities, or another one that takes wheelchair users up standing and walking again.
output: Želim da sada zamislite nosiv robot koji vam daje nadljudske sposobnosti, ili neki drugi koji omogučuje korisnicima invalidskih kolica da stoje i ponovno hodaju.
explanation: The translation correctly preserves the characters in Croatian.; input: We at Berkeley Bionics call these robots exoskeletons.
output: Mi u Berkley Bionics-u zovemo te robote egzoskeletoni.
explanation: The translation is fluent, formal, accurate and has preserved case-sensitive words like Berkley Bionics.; input: This is just not some blue sky thinking.
output: Ovo nije samo neko razmišljanje o plavom nebu.
explanation: The translation correctly preserves the Croatian character š, is fluent and case-sensitive

Negative examples:
input: It senses what I want to do, where I want to go, and then augments my strength and endurance.
output: Ono osjeca ono sto zelim raditi, gdje zelim ici, i tada povecava moju snagu i izdrzljivost.
explanation: Translation has replaced the Croatian character ć with c in word osjeca and character š with s in word sto.; input: So this is for real.
output: dakle, to je za ozbiljno.
explanation: The output is not case-sensitive and completely lowercased.; input: Now let's turn our heads towards the wheelchair users, something that I'm particularly passionate about.
output: sada ćemo se okrenuti prema korisnicima invalidskih kolica nešto oko čega sam posebno strastven
explanation: Translation has no punctuations and is not case-sensitive.; input: And that's actually a conservative estimate.
output: i to je, zapravo konzervativna procjena.
explanation: Translation has wrong punctuations and is not case-sensitive.
Task: In this task, you need to translate the given English sentence to Polish language.
Categories: Translation
Domains: Miscellaneous

Positive examples:
input: The Americans didnt even know
output: Amerykanie nawet nie wiedzieli
explanation: English sentence is properly converted into Polish sentence; input: So why do people go on with these strange rituals?
output: Więc dlaczego ludzie stosują te dziwne rytuały?
explanation: English sentence is properly converted into Polish sentence; input: That longest side is called the hypotenuse.
output: Ten najdłuższy bok trójkąta prostokątnego nazywa się przeciwprostokątna.
explanation: English sentence is properly converted into Polish sentence

Negative examples:
input: that is equal to this.
output: że partia faktcznie dobro ludu ma na myśli
explanation: The conversion of given English sentence to Polish is wrong. The output should be 'to jest równe temu'.; input: There were Romans from Africa
output: które tworzyli Rzymianie z Azja
explanation: The correct translation of the input to Polish is 'które tworzyli Rzymianie z Afryki'. However, the given output mistranslates Africa.
Task: A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Categories: Translation
Domains: Sociology; News

Positive examples:
input: इससे देश भर से तथा अन्य स्थानों से भी पर्यटकों का ज्यादा आगमन होगा और वे स्टेच्यू ऑफ यूनिटी की अपनी यात्रा अधिक सुविधाजनक एवं शीघ्रता से कर पाएंगे।
output: This will be more arrival of tourists from all over the country and from other places and they will be able to do their own travel of Statue of Unity more convenient and quickly.
explanation: Correct translation for given sentence. Input sentence means 'This will be more arrival of tourists from all over the country and from other places and they will be able to do their own travel of Statue of Unity more convenient and quickly.' which is the same as the output sentence.; input: आरओ-आरओ सुविधा के माध्यम से गुजरने वाले ट्रकों के सड़क परिवहन में काफी समय, लागत और ईंधन की बचत होगी।
output: Trucks passing through the RO-RO facility will save a lot of time, cost and fuel.
explanation: Correct translation for given sentence. Input sentence means 'Trucks passing through the RO-RO facility will save a lot of time, cost and fuel.' which is the same as the output sentence.

Negative examples:
input: आतंकवाद की सहायता, समर्थन और धन पोषण करने और आतंकवाद को देश की नीति के रूप में अपनाने के लिए पड़ोसी देश के बारे में उन्होंने कहा कि यह देश को खोखला करने वाला है।
output: Smart India Hackathon (SIH) 2019
explanation: Incorrect translation for given sentence. Input sentence means 'Regarding the neighboring country to adopt the assistance of terrorism, support and nutrition and to adopt terrorism as a country's policy, he said that it is going to hollow the country.' which is the not same as the output sentence meaning 'Smart India Hackathon (hih) 2019'; input: स्मार्ट इंडिया हेकथॉन (एसआईएच) 2019
output: Charging the neighbouring country with aiding, abetting and funding terrorists and using terrorism as a State policy, he said it was trying to cripple the country
explanation: Incorrect translation for given sentence. Input sentence means 'Smart India Hakathon (SRH) 2019' which is the  not same as the output sentence meaning 'Charging the neighbouring country with aiding, abetting and funding terrorists and using terrorism as a State policy, he said it was trying to cripple the country'
Task: Read the given query and classify it as a 'Good' or 'Bad' query depending on how well the query is formed, 'Bad' being the expected output for a not so well formed query and 'Good' being the expected output for a well formed query. A query may be wrong based on common sense or general facts, but if it is well formed, you should answer with Good.
Categories: Question Understanding
Domains: Miscellaneous
Reasoning: Grammatical Reasoning

Positive examples:
input: What is the scientific name of the tortoise ?
output: Good
explanation: The output for the query is Good because the query has no grammatical, punctuation or spelling errors.; input: Photo montage and animated gif you have gimp 2.6.5 you wanna make some animated gif with still image and make photo montage but you dont how to do it you really need some tutorial video or something l ?
output: Bad
explanation: The output for this query is Bad as this query is not well formed. It has grammatical mistakes and spelling errors; input: Radiator drain plug on a 96 jeep ?
output: Bad
explanation: The output for the query is Bad because even though the query does not contain spelling mistakes it is not gramatically well formed

Negative examples:
input: Circumflex artery function ?
output: Good
explanation: The output for the query is incorrect as the query is not well structured and is not a grammatically correct question. The correct answer is Bad.; input: Photo montage and animated gif you have gimp 2.6.5 you wanna make some animated gif with still image and make photo montage but you dont how to do it you really need some tutorial video or something l ?
output: Good
explanation: The output for the query is incorrect as the query and not well structured. It had grammatical and syntactical errors. The correct output should have been Bad; input: Radiator drain plug on a 96 jeep ?
output: jeep
explanation: The output for the query is incorrect as the output produced is a random string value and not 'Good' or 'Bad'.
Task: The provided file includes inquiries about restaurants, 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 formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.
Categories: Translation
Domains: Public Places -> Restaurants

Positive examples:
input: are there any " italian " restaurants nearby with 10 star reviews ?
output: löytyykö läheltäni yhtään " italian " ravintolaa joka on saanut vähintään 10 tähden arvioita?
explanation: The translation correctly preserves " italian " entity and is accurate; input: what kind of food does this restaurant serve ?
output: millaista ruokaa tässä ravintolassa tarjoillaan ?
explanation: The translation is fluent, formal, and accurate; input: what is the telephone number and location of the nearest " chinese " restaurant ?
output: mikä on lähimmän " chinese " ravintolan puhelinnumero ja sijainti ?
explanation: The translation correctly preserves " chinese " entity. It's also fluent, correct, and lowercased.

Negative examples:
input: where is the closest " wendy 's " ?
output: missä on lähin wendy 's ?
explanation: Translation contain the entity " wendy 's " but quotation marks are dropped; input: show me the closest " mcdonald 's "
output: näytä minulle lähin " McDonald's "
explanation: The output is not lowercased; input: display all review descriptions authored by " jennifer " .
output: näytä kaikki käyttäjän " jennifer " kirjoittamat .
explanation: Translation of review descriptions is omitted from the output; input: what is the phone number for " noodle nirvana " ?
output: mikä on ravintolan " nuudeli nirvana " puhelinnumero ?
explanation: The restaurant name " noodle nirvana " is translated to " nuudeli nirvana " instead of being kept intact; input: can you tell me the rating of " gold mirror " in " san francisco " ?
output: voitko kertoa minulle ravintolan " san francisco " arvosanan kohteessa " gold mirror " ?
explanation: The position of entities is switched in the output
Task: In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
Categories: Program Execution
Domains: Mathematics

Positive examples:
input: JkbloNUq, nYblowj
output: b, j, k, l, n, o, q, u
explanation: Here, 'JkbloNUq' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'b, j, k, l, n, o, q, u'.; input: QBTBFxpSttwCQElHHYXBKyEd, zIIIDitBtCwCQElHHYXBYymGYkS
output: b, c, d, e, g, h, i, k, l, m, q, s, t, w, x, y, z
explanation: Here, 'zIIIDitBtCwCQElHHYXBYymGYkS' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'b, c, d, e, g, h, i, k, l, m, q, s, t, w, x, y, z'.

Negative examples:
input: enVgoMukw, vtZgoMda
output: e, g, k, M, n, o, u, V, w
explanation: Here, the answer should have been 'e, g, k, m, n, o, u, v, w'. 'enVgoMukw' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'e, g, k, m, n, o, u, v, w'.; input: zBTWV, bcTWTE
output: b, c, e, t, t, w
explanation: Here, the answer should have been 'b, c, e, t, w'. 'bcTWTE' is the longer string among the two input strings. Lowercasing it and finding all unique alphabets gives 'b, c, e, t, w'.