ceselder/lots-of-loras-task-definitions huggingface dataset:
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 the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Categories: Translation
Domains: News; TED Talks; Wikipedia

Positive examples:
input: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
output: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
explanation: Hindi sentence is properly converted into English 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. Also, the translated sentence is in a sentence case.; input: यहां तक कि पानी में हाइड्रोजन सल्फाइड की 0.001 पी पी एम मात्रा से भी सड़े हुए अंडे की बदबू आती है ।
output: Even a concentration of 0.001 ppm of hydrogen sulphide in the water can emit the smell of rotten egg .
explanation: Hindi sentence is properly converted into English 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 and the output is in a sentence case.; input: कश्मीर के तत्कालीन गवर्नर ने इस हस्तांतरण का विरोध किया था , लेकिन अंग्रेजों की सहायता से उनकी आवाज दबा दी गयी|
output: Then the Governor of Kashmir resisted transfer , but was finally reduced to subjection with the aid of British .
explanation: Hindi sentence is properly converted into English 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. Also, the translated sentence is in a sentence case.

Negative examples:
input: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया|
output: The first three were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .
explanation: The conversion of Hindi to English is wrong because output says there are three unrealible, however, there are two.; input: मगर उनके निधन के पश्चात उनके भाई सरदार वल्लभ भाई पटेल ने इस वसीयत को स्वीकार नहीं किया और उसपर अदालत में मुकदमा चलाया।
output: But after his demise, his bother Sardar Vallabh Bhai Patel accepted the will and filed a case in the court.
explanation: The conversion of Hindi to English is wrong because Sardar Vallabh Bhai Patel did not accept the will.; input: कश्मीर के तत्कालीन गवर्नर ने इस हस्तांतरण का विरोध किया था , लेकिन अंग्रेजों की सहायता से उनकी आवाज दबा दी गयी|
output: The Governor of Kashmir resisted transfer , but was finally increased to subjection with the aid of British .
explanation: The conversion of Hindi to English is wrong because with the help of British people they reduced the subjection of transfer.
Task: In this task, you will be presented with a question having multiple possible answers in Arabic 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: ارتفعت صوت المروحة الكهربائية كثيرًا وكانت تزعج الآخرين ، على الرغم من أنهم سمحوا بالعديد من الأشياء الشخصية على المكاتب التي كان مطلوبًا منها إيقاف تشغيلها؟ 
 Options: (A) خزانة (B) المدخل (C) غرفة ساخنة (D) الصفحة الرئيسية (E) مكتب. مقر. مركز 
output: E
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: عالج مكتب الأسنان الكثير من المرضى الذين عانوا من إصابات الفم الرضحية ، من أين أتوا هؤلاء المرضى؟ 
 Options: (A) مدينة (B) ميشيغان (C) مبنى إداري (D) المدارس (E) مستشفى 
output: E
explanation: This is the correct answer because the traumatic injuries are generally handled by the hospitals.; input: Question: كانت هدية شائعة وشائعة هذا العام ، لذا توجه إلى ما حيث سيكون من السهل العثور عليه؟ 
 Options: (A) قسم التخزين (B) جورب عيد الميلاد (C) مخزن التخصص (D) شجرة عيد الميلاد (E) خزانة 
output: A
explanation: The predicted answer is correct because out of given many options only department stores are easy to find.; input: Question: لماذا يبقى الشخص في عمله دون أجر؟ 
 Options: (A) شكرا يا الله (B) انتظر في الطابور (C) تطوع (D) اعرض المساعدة (E) استمتع بالعمل 
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.; input: Question: أراد الرائد توم الحفاظ على الأسلحة. على الرغم من خطورتهما ، فقد شعر أنه يمكنهما الحصول على ماذا في المستقبل؟ 
 Options: (A) استعمال (B) شارع (C) خراب (D) تعفن (E) المخلفات 
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.

Negative examples:
input: Question: لم يكن جون يعرف ماذا يحصل لأي شخص. كان شراء هدايا عيد الميلاد مرهقًا بالنسبة له ، وكان الانتهاء منه؟ 
 Options: (A) ارتياح (B) السعادة (C) حزين جدا (D) نقص المال (E) دين 
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: أبلغ كشك التذاكر الدراجين أن القطار قد تأخر ، فأين يقع كشك التذاكر؟ 
 Options: (A) صالة السينما (B) حلبة الرياضة (C) مدرسة (D) محطة مترو (E) قاعة محاضرات 
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 question on professional psychology. You are also given 4 answer options (associated with "A", "B", "C", "D"), out of which only one is correct. You need to answer the question by selecting the correct option. You should only answer with the choice letter, not the whole answer.
Categories: Question Answering
Domains: Psychology
Reasoning: Scientific Reasoning

Positive examples:
input: Which of the following statements expresses a relationship between aging and sexual functioning
(A)Aging is related to an increase in vaginal lubrication (B)Aging is associated with an increase in the frequency and number of orgasmic contractions in both sexes (C)There is no significant relationship between aging and sexual responses in either sex (D)Aging is related to some loss of erectile rigidity in the male
output: D
explanation: Aging is related to some loss of erectile rigidity in the male; input: According to Piaget, children are ___________.
(A)“Blank slates” (B)Less intelligent than adults (C)“Little scientists” (D)Shaped by culture
output: C
explanation: According to Piaget, children are Little scientists

Negative examples:
input: Which of the following statements expresses a relationship between aging and sexual functioning
(A)Aging is related to an increase in vaginal lubrication (B)Aging is associated with an increase in the frequency and number of orgasmic contractions in both sexes (C)There is no significant relationship between aging and sexual responses in either sex (D)Aging is related to some loss of erectile rigidity in the male
output: I dont know.
explanation: Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'.; input: According to Piaget, children are ___________.
(A)“Blank slates” (B)Less intelligent than adults (C)“Little scientists” (D)Shaped by culture
output: B,C
explanation: Only one of the following options ('A', 'B', 'C', 'D') is allowed to be the answer. Multiple options can not be correct. The correct answer here would have been 'C'.; input: The correlation between two sets of test scores indicates the
(A)extent to which skill in one test results in skill in another (B)accuracy of the two sets of test scores (C)extent to which skill in both tests is the result of a third skill (D)proportion of variance in one test associated with variance in the other test
output: A
explanation: The correlation between two sets of test scores indicates the proportion of variance in one test associated with variance in the other test. Hence the correct answer should be 'D'.
Task: Sometimes users of dialogue systems ask vague questions/queries from the system. In this case, the system asks them a clarifying question to be able to answer it correctly. In this task, you are given a question/query in natural language and your task is to ask a good clarifying question to understand the given question/query more precisely.
Categories: Question Generation
Domains: Dialogue
Reasoning: Commonsense Reasoning -> Social Situations; Reasoning on Social Interactions

Positive examples:
input: Tell me about defender
output: are you referring to the arcade game called defender
explanation: The answer to this question(confirmation) can properly clarify the meaning of the user's question, so this is a good clarifying question.; input: I'm looking for information on hobby stores
output: what location do you want to find a hobby store in
explanation: The answer to this question(the location of hobby stores) can properly clarify the user's query.; input: I'm looking for universal animal cuts reviews
output: did you want to know if the price was worth it
explanation: The answer to this question can help the system filter the retrieved reviews.

Negative examples:
input: Find me information about the Ritz Carlton Lake Las Vegas.
output: do you want information about Ritz Carlton Lake now or later
explanation: This is not a good clarifying question, as the answer to it doesn't clarify user's intention.; input: I'm looking for information on hobby stores
output: why are you looking for information on stores
explanation: The clarifying question misses one particular entity from the input query, i.e., user wants to know about hobby stores, not any store.; input: I'm looking for universal animal cuts reviews
output: Why are you looking for universal bird cuts reviews
explanation: The clarifying questionchanged the main entity in the input query and it's not a good clarifying question.
Task: Given a sentence in Spanish, provide an equivalent paraphrased translation in Korean that retains the same meaning both through the translation and the paraphrase.
Categories: Translation
Domains: Wikipedia

Positive examples:
input: La temporada de la NBA de 1975: 76 fue la 30ª temporada de la National Basketball Association.
output: National Basketball Association의 1975 - 76 시즌은 NBA의 30 번째 시즌이었다.
explanation: This is a correct and accurate translation from Spanish to Korean because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: Cuando se pueden mantener tasas de flujo comparables, los resultados son altos.
output: 비교 가능한 유속을 유지할 수있을 때 그 결과가 높습니다.
explanation: The resulting paraphrased translation from Spanish to Korean is correct because the resulting translation holds the message that results are high when comparable rates of flow are maintained.

Negative examples:
input: En París, en octubre de 1560, se reunió en secreto con el embajador inglés, Nicolas Throckmorton, pidiéndole un pasaporte para regresar a Inglaterra a través de Escocia.
output: 1560 년 10 월 그는 파리의 니콜라스 스록 모튼 (Nicolas Throckmorton) 대사와 비밀리에 만나 영국에있는 스코틀랜드로 돌아갈 여권을 요청했다.
explanation: This is not a proper translation from Spanish to Korean because the resulting translation is not accurate to the original idea in which the locations of England and Scotland are not accurate.; input: También hay discusiones específicas, debates de perfil público y discusiones de proyectos.
output: 공개 토론, 프로필 토론, 프로젝트 토론 등이 있습니다.
explanation: This translated paraphrase from Spanish to Korean is incorrect because the resulting translation does not reflect the actual topics of dicussion and debate relating to profiles and projects.
Task: Given a sentence in French, provide an equivalent paraphrased translation in German that retains the same meaning both through the translation and the paraphrase.
Categories: Translation
Domains: Wikipedia

Positive examples:
input: La saison NBA 1975 - 76 était la 30e saison de la National Basketball Association.
output: Die Saison 1975 - 76 der National Basketball Association war die 30. Saison der NBA.
explanation: This is a correct and accurate translation from French to German because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: Lorsque des débits comparables peuvent être maintenus, les résultats sont élevés.
output: Die Ergebnisse sind hoch, wenn vergleichbare Flussraten aufrechterhalten werden können.
explanation: The resulting paraphrased translation from French to German is correct because the resulting translation holds the message that results are high when comparable rates of flow are maintained.

Negative examples:
input: À Paris, en octobre 1560, il rencontra secrètement l'ambassadeur d'Angleterre, Nicolas Throckmorton, lui demandant un passeport pour retourner en Angleterre en passant par l'Écosse.
output: Im Oktober 1560 traf er sich heimlich mit dem englischen Botschafter Nicolas Throckmorton in Paris und bat ihn um einen Pass, um durch England nach Schottland zurückzukehren.
explanation: This is not a proper translation from French to German because the resulting translation is not accurate to the original idea in which the locations of England and Scotland are not accurate.; input: Il y a aussi des discussions spécifiques, des débats publics et des discussions de projet.
output: Es gibt auch öffentliche Diskussionen, profilspezifische Diskussionen und Projektbesprechungen.
explanation: This translated paraphrase from French to German is incorrect because the resulting translation does not reflect the actual topics of dicussion and debate relating to profiles and projects.
Task: Given a sentence in French, 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: La saison NBA 1975 - 76 était la 30e saison de la 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 French to Japanese because the translated paraphrase retains the main message that between the years 1975-1976, the 30th NBA season occurred.; input: Lorsque des débits comparables peuvent être maintenus, les résultats sont élevés.
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 French 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: À Paris, en octobre 1560, il rencontra secrètement l'ambassadeur d'Angleterre, Nicolas Throckmorton, lui demandant un passeport pour retourner en Angleterre en passant par l'Écosse.
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 French 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: Il y a aussi des discussions spécifiques, des débats publics et des discussions de projet.
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 French to Japanese is incorrect because the resulting translation does not reflect the actual topics of dicussion and debate relating to profiles and projects.
Task: In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some expectations, Label these instances as "situational". polarity irony happens when irony is achieved by inverting the intended sentence, Label these instances as "polarity". There are other kinds of ironies that are neither polarity nor situational, Label these instances as "other". Note that URLs in the text have been replaced with [Link].
Categories: Irony Detection
Domains: Social Media -> Twitter
Reasoning: Commonsense Reasoning -> Social Situations

Positive examples:
input: crushes are great until you realize they'll never be interested in you.| :p
output: situational
explanation: Instance describes a situations that fail to meet expectations.; input: Oh, thank GOD - our entire office email system is down... the day of a big event. Santa, you know JUST what to get me for xmas.
output: polarity
explanation: Instance contains an evaluative expression whose polarity (positive, negative) is inverted between the literal and the intended evaluation.; input: @yWTorres9 time to hit the books then
output: other
explanation: Instance is ironic but doesn't have polarity or situational irony.

Negative examples:
input: Sexist article in the Daily Fail about men wasting money on cycling - accompanied by recommendation for a handbag costing £999.
output: polarity
explanation: This instance doesn't contain any polarity contrast between the literal and the intended evaluation. Instead its describing a situation that fails to meet the expectations so it should be labeled as "situational"
Task: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Categories: Translation
Domains: Government and Politics

Positive examples:
input: Membership of Parliament: see Minutes
output: Състав на Парламента: вж. протоколи
explanation: English sentence is converted into bulgarian sentence.; input: Why were we against the euro at that time?
output: Защо бяхме против еврото по онова време?
explanation: English sentence is converted into bulgarian sentence.

Negative examples:
input: This is the very problem which we are facing today.
output: Имахме две основни причини за това.
explanation: The conversion of english to bulgarian is wrong.
Task: In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Categories: Keyword Tagging
Domains: Government and Politics
Reasoning: Reasoning on Social Interactions

Positive examples:
input: Says the Annies List political group supports third-trimester abortions on demand.
output: abortion
explanation: It's a correct subject of the statement because it talks about a political group supporting demans of abortions.; input: In this last election in November, ... 63 percent of the American people chose not to vote, ... 80 percent of young people, (and) 75 percent of low-income workers chose not to vote.
output: election
explanation: It's a correct subject of the statement because it talks about the percentage of different kinds of people who didn't choose to vote.; input: The nuclear test conducted in our nation this time is the Earth's 2,054th nuclear test. The five permanent members of the U.N. Security Council have conducted 99.99 percent of the total nuclear tests.
output: military
explanation: It's a correct subject of the statement because it talks about nuclear test that's been conducted in the nation. Other subjects like "nuclear weapon" would also be correct.

Negative examples:
input: We just had the best year for the auto industry in America in history.
output: election
explanation: It's a wrong subject of the statement. Because the statement talks about the success of an auto industry that year. So, the correct subject would be: economy.; input: We cut business taxes so today 70 percent of our businesses don't pay a business tax.
output: health care
explanation: It's a wrong subject of the statement. Because the statement talks about the business not paying taxes. So, the correct subject would be: taxes.; input: Says a U.S. Supreme Court justice suggested that some U.S. cases will be decided based on South African law.
output: military
explanation: It's a wrong subject of the statement. Because the statement talks about the suggestion of the U.S. Supreme Court. So, correct subjects would be: legal issues, or supreme court.
Task: The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
Categories: Fill in The Blank
Domains: Commonsense; Dialogue; Narrative
Reasoning: Reasoning on Social Interactions; Commonsense Reasoning -> Social Situations

Positive examples:
input: SENTENCE: Alphonso feels <blank>.
 EMOTION: sadness
output: Alphonso feels sad
explanation: The answer is correct. The pattern '<blank>' is replaced with the appropriate word 'sad' which correspoinds to the emotion 'sadness'; input: SENTENCE: The situation makes Heather feel <blank>. 
 EMOTION: joy 
output: The situation makes Heather feel releived
explanation: The word '<blank>' is replaced by releived and the emotion word releived denotes 'joy'; input: SENTENCE: This boy made me feel <blank>. 
 EMOTION: fear
output: This boy made me feel scared.
explanation: The word '<blank>' is replaced by scared and the emotion word releived denotes 'fear'

Negative examples:
input: SENTENCE: Alonzo found himself in a <blank> situation. 
 EMOTION: anger
output: Alonzo found himself in a exciting situation.
explanation: The emotion mentioned is 'anger', but the word replaced with has a positive emotion word 'exciting' denoting joy. Also, the article 'a' should be preceded by a vowel. So, a word starting with 'e' is not preferred. The correct word is 'frustrating'; input: SENTENCE: She found herself in a <blank> situation. 
 EMOTION: sadness
output: She found herself in a contempt situation.
explanation: The '<blank>' keyword is supposed to be replaced with a word similar to the feeling sadness. The word 'contempt' does not mean the same. On the other hand, replacing the word '<blank>' with 'lonely' is correct.; input: SENTENCE: Alan told us all about the recent <blank> events. 
 EMOTION: anger
output: Alan told us all about the recent joyous situation
explanation: The similarity between the feeling joyous to anger is very less. An answer 'disturbing' would be more accurate.