ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: In this task, you will be presented with a question having multiple possible answers in Italian 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: Lo studio dentistico si è occupato di molti pazienti che hanno subito lesioni traumatiche alla bocca, da dove venivano questi pazienti? 
 Options: (A) città (B) michigan (C) edificio per uffici (D) scuole (E) ospedale 
output: E
explanation: This is the correct answer because the traumatic injuries are generally handled by the hospitals.; input: Question: È stato un regalo popolare e comune quest'anno, quindi si è diretto verso il dove sarebbe stato facile trovarlo? 
 Options: (A) albero di Natale (B) calza di Natale (C) grande magazzino (D) negozio specializzato (E) armadio 
output: C
explanation: The predicted answer is correct because out of given many options only department stores are easy to find.; input: Question: Perché una persona dovrebbe rimanere al lavoro senza essere pagata? 
 Options: (A) grazie a Dio (B) divertirsi a lavorare (C) volontario (D) offrire aiuto (E) attendere in fila 
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: Il Maggiore Tom voleva conservare le armi. Per quanto fossero pericolosi, sentiva che avrebbero potuto avere cosa in futuro? 
 Options: (A) rovina (B) strada (C) utilizzare (D) marcire (E) rifiuti 
output: C
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: Il ventilatore elettrico era diventato troppo rumoroso e stava dando fastidio agli altri, anche se hanno permesso molte cose personali sulle scrivanie gli hanno chiesto di spegnerlo dove? 
 Options: (A) armadio (B) ufficio (C) camera calda (D) home (E) corridoio 
output: B
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: John non sapeva cosa prendere per nessuno. Comprare i regali di Natale era stressante per lui, e finire era cosa? 
 Options: (A) sollievo (B) felicità (C) molto triste (D) mancanza di denaro (E) debito 
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 (A).; input: Question: La biglietteria informava i viaggiatori che il treno era in ritardo, quindi dove si trovava la biglietteria? 
 Options: (A) cinema (B) arena sportiva (C) stazione della metropolitana (D) scuola (E) auditorium 
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: The provided file includes inquiries about restaurants in Polish, and we ask you to translate those to English 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: czy w pobliżu znajdują się jakiekolwiek restauracje " italian " z opiniami z 0 gwiazdką/gwiazdkami?
output: are there any " italian " restaurants nearby with 0 star reviews ?
explanation: The translation correctly preserves " italian " entity and is accurate; input: jakie dania podaje ta restauracja?
output: what kind of food does this restaurant serve ?
explanation: The translation is fluent, formal, and accurate; input: gdzie znajduje się najbliższa restauracja " chinese " i jaki jest jej numer telefonu?
output: what is the telephone number and location of the nearest " chinese " restaurant ?
explanation: The translation correctly preserves " chinese " entity. It's also fluent, correct, and lowercased.

Negative examples:
input: gdzie znajduje się najbliższy obiekt " wendy 's "?
output: where is the closest wendy 's ?
explanation: Translation contain the entity " wendy 's " but quotation marks are dropped; input: wyświetl najbliższy obiekt " mcdonald 's "
output: show me the closest " McDonald's "
explanation: The output is not lowercased; input: wyświetl wszystkie opisy opinii, które zamieścił(a) " jennifer ".
output: display all authored by " jennifer " .
explanation: Translation of 'opisy opinii' is omitted from the output; input: jaki jest numer telefonu " noodle nirvana "?
output: what is the phone number for " nirwana makaronowa " ?
explanation: The restaurant name " noodle nirvana " is translated to " nirwana makaronowa " instead of being kept intact; input: czy mogę poznać ocenę " gold mirror " w(e) " san francisco "?
output: can you tell me the rating of " san francisco " in " gold mirror " ?
explanation: The position of entities is switched in the output
Task: In this task, you're given statements in native Kannada language. The statement can be written with the Kannada alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult.  Non-offensive posts do not include any form of offense or insult. Label the post as "Offensive" if the post contains offensive language. 
Categories: Toxic Language Detection
Domains: Social Media

Positive examples:
input: ಯಾರಿಗೂ ಯಾರು ಗೂತೀಲಾ ಸರ್  ಆದರೇ   ನಮ್ಮ ಧುಢೀಮೇ ನಮಗೆ ಸರ್
output: Not offensive
explanation: This statement "ಯಾರಿಗೂ ಯಾರು ಗೂತೀಲಾ ಸರ್  ಆದರೇ   ನಮ್ಮ ಧುಢೀಮೇ ನಮಗೆ ಸರ್"  is a question from a person to another about a person "Guteela".; input: Lol telegram bandirodu alla Amazon prime bandirodu adanna pirate madi telegram hakidarenNivgalu theatre gu hogalla mobile bandru pirate nodtira
output: Offensive
explanation: This statement is a negative comment on "Amazon Prime" and "Telegram".

Negative examples:
input: ವಿಭಿನ್ನ ಹಾಡು...nಅದ್ಭುತ ವಾಗಿದೆ ಶೇಟ್ರೆ
output: Offensive
explanation: The statement is a positive comment about a song.; input: ಕನ್ನಡ ಇವತ್ತು ರಾಷ್ಟ್ರೀಯ ಮತ್ತು ಅಂತಾರಾಷ್ಟ್ರೀಯ ಮಟ್ಟದಲ್ಲಿ ಹೆಸರು ಮಾಡುತ್ತಿದೆ ಎಂದರೆ ಅದು ರಕ್ಷಿತ್ ಶೆಟ್ಟಿ ರವರಂತವರ ಉತ್ಸುಕತೆಯಿಂದ ಮಾತ್ರ
output: Offensive
explanation: This statement is an information about the language "Kannada" and its recognition at national and international level.
Task: You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Wszystko jest robione pomiędzy żebrami.
output: 全て肋骨の間から行うのです
explanation: The Polish sentence is correctly translated into Japanese, because the meaning is preserved.; input: Gilead, firma posiadająca na niego patent, dała Puli Patentowej Leków prawo do użytkowania ich własności intelektualnej.
output: この特許を持つ会社、ギリアド社は、医薬品特許プールに知的財産の使用を許可しました。
explanation: The Polish sentence is correctly translated into Japanese, because the meaning is preserved.; input: Trwała jesień. Było chłodno i wilgotno, ściemniało się.
output: 肌寒い秋の日であたりは暗くなってきていました
explanation: The Polish sentence is correctly translated into Japanese, because the meaning is preserved.

Negative examples:
input: Obecnie używamy 50% słodkich wód na Ziemi, co jest w miarę rozsądne, ale samo rolnictwo używa z tego 70%.
output: 本当にどこから来るんでしょう ？
explanation: The Polish sentence is not correctly translated into Japanese, because the meaning is different.; input: Była to emocjonująca bitwa i powtórzyłabym ją dzisiaj bez chwili wahania.
output: 心高ぶる闘いでしたもし同じ状況になれば全く躊躇無しにもう一度同じ選択をするでしょう
explanation: The Polish sentence is not correctly translated into Japanese, because the meaning is different.; input: Nie wiem, skąd się bierze.
output: 私たちは地球上の淡水の50% をすでに使用していて農業はそのうちの 70% を使用しています
explanation: The Polish sentence is not correctly translated into Japanese, because the meaning is different.
Task: In this task, you are given a list of numbers. The list of numbers is separated with comma and inside brackets. You need to remove the maximum(the number with the largest value) and minimum(the number with the smallest value) element from the list and return the list in the same order as input. Your answer should be a list of numbers separated by comma, inside brackets.
Categories: Program Execution
Domains: Mathematics
Reasoning: Reasoning on Numbers

Positive examples:
input: [1,45,23,67,83]
output: [45,23,67]
explanation: 1 is the minimum element and it is removed and 83 is the maximum element and it is also removed from the result.; input: [23,45,34,12,87,98,102]
output: [23,45,34,87,98]
explanation: 12 is the minimum element and it is removed and 102 is the maximum element and it is also removed from the result.

Negative examples:
input: [22,44,67,87,98,104,106]
output: [22,44,67,87,98,104]
explanation: 22 is the minimum element but it is not removed from the result.; input: [45,56,102,345,23,12,16,67]
output: [102,45,56,23,67,16]
explanation: 12 is the minimum element and 345 is the maximum element and both are removed from the result but the resulting list is not in the same order as input.
Task: You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: Poradzi sobie, ale trzeba na nią uważać.
output: لذا نعلم أنها ستكون ناجحة. ولكن علينا مراقبتها
explanation: The Polish sentence is correctly translated into Arabic, because the meaning is preserved.; input: Nie ma zbyt dużo dobrych słów opisujących koncepcje, o których będziemy rozmawiać.
output: لا يوجد كثير من الكلمات الجيدة للأفكار التي سنتكلم عنها.
explanation: The Polish sentence is correctly translated into Arabic, because the meaning is preserved.; input: Na półkach są trzy ciężarówki. Instynktownie wybierzesz białą, bo z twojej perspektywy jest to ta górna, ale wtedy przypomnisz sobie: "" On nie widzi tej ciężarówki, więc ma na myśli tę niebieską "", która z jego perspektywy jest górną ciężarówką. Można w to wierzyć lub nie, ale zdrowi, inteligentni dorośli ludzie popełniają błędy w około 50% przypadków w tego typu zadaniu.
output: هناك ثلاث شاحنات. وستقومون غريزياً بإختيار الشاحنة البيضاء ، لأن هذه هي أعلى شاحنة من وجهة نظركم ، لكن يجب أن تتذكروا "" أوه ، لا يمكنه أن يرى تلك الشاحنة ، لذا لا بد بأنه يعني أن نحرك الشاحنة الزرقاء ، "" والتي تعتبر أعلى شاحنة من وجهة نظر الموجّه. والآن صدقوا أو لا تصدقوا فالراشدون الطبيعيون والأصحاء والأذكياء مثلكم ، يرتكبون أخطاءاً بنسبة 50% في هذا النوع من التجارب.
explanation: The Polish sentence is correctly translated into Arabic, because the meaning is preserved.

Negative examples:
input: Wydatki rzędu 3 miliardów dolarów na obozy uchodźców, aby pomóc ludziom, którzy zostali wyrzuceni z domów, przez sudański rząd, przez milicję Dżandżawidów, aby utrzymać tych ludzi przy życiu zanim powstanie coś trwalszego.
output: إذن فنحن نتتبع كيف تصل تلك المركبات من المنتجات إلى المحيط ، وهو المثوى النهائي لهم.
explanation: The Polish sentence is not correctly translated into Arabic, because the meaning is different.; input: W naszym kraju więcej dziewcząt i kobiet zostało zamordowanych przez swojego partnera, niż zginęło 9. września, a potem w Afganistanie i Iraku razem.
output: في بلادنا ، قُتلت فتيات ونساء من قبل أزواجهن أكثر ممن قُتلوا في أحداث 11 / 9 وممن لقيوا حتفهم منذ ذلك الحين في أفغانستان والعراق مجتمعين.
explanation: The Polish sentence is not correctly translated into Arabic, because the meaning is different.; input: Badamy drogi, którymi te związki dostają się z tych produktów do oceanu, który jest dla nich ostatnim zbiornikiem.
output: إن إنفاق ثلاثة بلايين دولار فى معسكرات اللاجئين فى محاولة للحفاظ, أساساً على الناس الذين تم إجلائهم من منازلهم بواسطة الحكومة السودانية أو بواسطة الميليشيا المسماه جانجاوييد, للحفاظ على هولاء الناس أحياء إلى أن يتحقق شيئاً أفضل لهم.
explanation: The Polish sentence is not correctly translated into Arabic, because the meaning is different.
Task: The answer will be 'yes' if the provided sentence contains an explicit mention that answers the given question. Otherwise, the answer should be 'no'. Instances where the answer is implied from the sentence using "instinct" or "common sense" (as opposed to being written explicitly in the sentence) should be labeled as 'no'.
Categories: Answerability Classification
Domains: News; Wikipedia; Law; Justice; History; History -> 9/11 Reports; Anthropology; School Science Textbooks; Fiction
Reasoning: Temporal Reasoning; Commonsense Reasoning

Positive examples:
input: Sentence: Jack played basketball for an hour after school, after which he was very tired. 
Question: How long did Jack play basketball?
output: Yes.
explanation: The answer to this question (an hour)  lies in its text.; input: Sentence: He was born in China, so he went to the Embassy at 1 pm to apply for a U.S. Visa. 
Question: When did he go to Embassy?
output: Yes.
explanation: The answer to this question (1 pm)  lies in its text.

Negative examples:
input: Sentence: Jack played basketball after school, after which he was very tired. 
Question: How long did Jack play basketball?
output: No.
explanation: The answer to this question is not present in its text and it requires commonsense to answer.
Task: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
output: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i wystartować ponownie w ciągu kilku minut.
explanation: The Farsi sentence is correctly translated into Polish, because the meaning is preserved.; input: باز هم شاهد همین روند هستیم در سراسر اروپا ، سراسر شمال امریکا است.
output: Widzimy tę tendencję w Europie i Ameryce Północnej.
explanation: The Farsi sentence is correctly translated into Polish, because the meaning is preserved.; input: و می ‌ دانید بخش خارق العادش چی بود! خیلی ساده من هیچ جوابی نداشتم.
output: Najbardziej niesamowite w tym wszystkim jest to, że nie miałam żadnych odpowiedzi.
explanation: The Farsi sentence is correctly translated into Polish, because the meaning is preserved.

Negative examples:
input: به خاطر اینکه مردانی که به سوی آنها می روند مردانی نیستند که بخواهند تو را دوست دختر خود کنند ، یا کسی که بخواهد که با تو تشکیل خانواده دهد.
output: Nie będziemy używać żadnych pochodnych węgla.
explanation: The Farsi sentence is not correctly translated into Polish, because the meaning is different.; input: ما مخصوصا بر موضوعات مرتبط با توسعه آفريقا تاكيد ميكنيم ، تا دانشمنداني كه در آفريقا كار مي كنند مزيت رقابتي داشته باشند.
output: Szczególnie kładziemy nacisk na dziedziny mające olbrzymi związek z rozwojem Afryki, ponieważ w tych dziedzinach naukowcy pracujący w Afryce będą mieli konkurencyjną przewagę.
explanation: The Farsi sentence is not correctly translated into Polish, because the meaning is different.; input: ما هیچ الکترونی را که منشأ فسیلی دارد استفاده نمی ‌ کنیم.
output: Bo mężczyźni, którzy do nich przychodzą, nie szukają dla siebie partnerek, nie chcą zakładać z nimi rodziny.
explanation: The Farsi sentence is not correctly translated into Polish, because the meaning is different.
Task: Given a sentence in German, 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: Die NBA-Saison 1975 - 76 war die 30. Saison der National Basketball Association.
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 German to Japanese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: Wenn vergleichbare Flussraten aufrechterhalten werden können, sind die Ergebnisse hoch.
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 German 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: Im Oktober 1560 traf er sich in Paris heimlich mit dem englischen Botschafter Nicolas Throckmorton und bat ihn um einen Pass, um durch Schottland nach England zurückzukehren.
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 German 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: Es gibt auch spezifische Diskussionen, öffentliche Profildiskussionen und Projektdiskussionen.
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 German to Japanese is incorrect because the resulting translation does not reflect the actual topics of dicussion and debate relating to profiles and projects.
Task: Two analogies that relate items to whether they are trash or treasure is given in the form "A : B. C : ?". Items marked as "trash" are considered to not have value and can be disposed, whereas those marked as "treasure" are considered valuable items that must be retained. "A : "B relates item A to whether it is trash or treasure, as specified by B. Your task is to replace the question mark (?) with either `trash` or `treasure` for the given item C, following the "A : B" relation.
Categories: Word Analogy
Domains: Commonsense
Reasoning: Relational Reasoning; Commonsense Reasoning; Analogical Reasoning

Positive examples:
input: book : treasure. pillow : ?
output: treasure
explanation: The analogy models a trash/treasure relation. Books are associated with treasure, pillows are associated with treasure; input: leaf : trash. ring : ?
output: treasure
explanation: The analogy models a trash/treasure relation. Leaves are associated with trash, rings are associated with treasure; input: bug : trash. dirt : ?
output: trash
explanation: The analogy models a trash/treasure relation. Bugs are associated with trash, dirt is associated with trash

Negative examples:
input: wrapper : trash. baby : ?
output: trash
explanation: The analogy models a trash/treasure relation. Wrappers are associated with trash, BUT babies are not associated with trash; input: peel : trash. cup : ?
output: coffee
explanation: The analogy models a trash/treasure relation. Peels are associated with trash. BUT coffee is the wrong answer to the cup, since it models a containment relation.; input: crumbs : trash. dust : ?
output: treasure
explanation: The analogy models a trash/treasure relation. Crumbs are associated with trash, BUT dust is not associated with treasure
Task: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Categories: Text Matching
Domains: Public Places

Positive examples:
input: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday. 
 Hindi: कल ब्रिटेन के परिवहन सचिव रूथ केली द्वारा 1730 UTC पर हाउस ऑफ़ कॉमन्स में विवरण दिए गए।
output: Yes
explanation: The converted Hindi sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.; input: English: The body of Joana Dudushi was found near her apartment where she lived with her several-month-old baby. 
 Hindi: यह अमेरिका की प्रमुख पेशेवर स्टॉक कार श्रृंखला के 2010 के सीजन में उनकी पांचवीं जीत थी, जिसमें उन्होंने डेनी हैमलिन के साथ सबसे अधिक जीत दर्ज की।
output: No
explanation: The Hindi sentence is not a translation of an English sentence because the English sentence is about Joana Dudushi where as the Hindi sentence is about a diiferent topic.

Negative examples:
input: English: Political figures in the UK continue to raise concerns about both the specific loss of this information, and the nature of governments ability to safely gather and maintain information. 
 Hindi:यूके में राजनीतिक आंकड़े इस जानकारी के विशिष्ट नुकसान और सरकार द्वारा सुरक्षित रूप से जानकारी इकट्ठा करने और बनाए रखने की क्षमता की प्रकृति दोनों के बारे में चिंताए जताते हैं।
output: No
explanation: The Hindi sentence is a correct translation of an English sentence as it contains the message from the English sentence, therefore output must be "Yes"; input: English: Portugal are bottom of the group with no points, behind Romania with one. 
 Hindi: 1 पॉइंट के साथ रोमानिया के बाद ग्रुप में सब से आखिर में पुर्तगाल था, जिसके 0 अंक थे।
output: Correct
explanation: Output must be "Yes" or "No"