ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
Categories: Information Extraction
Domains: Dialogue
Reasoning: Reasoning on Social Interactions

Positive examples:
input: ASSISTANT: What kind of movies are you drawn to? , USER: I am drawn to romances. , ASSISTANT: Have you seen Fifty Shade of Grey?
output: Fifty Shade of Grey
explanation: Based on the given conversation the "ASSISTANT" asks user for the movie along with the 'Fifty Shade of Grey' title provided into it. We can then classify this title and store it inside the output; input: ASSISTANT: generally speaking what type of movies do you watch , USER: I like thrillers a lot. , ASSISTANT: thrillers? for example? , USER: Zodiac's one of my favorite movies.
output: Zodiac
explanation: Based on the given conversation the "ASSISTANT" starts the conversation with the movies tag into it. Later on it asks "USER" about the given specific movie named 'Zodiac' which would be recorded as our output.

Negative examples:
input: ASSISTANT: what kind of movies do you generally like?
output: like
explanation: This is an example of bad input as without any context of previous conversation we cannot classify the given movie title. Hence the given ouput is incorrect.; input: ASSISTANT: hello. What type of movies do you like? , USER: I usually like action drama movies. , ASSISTANT: what do you like about those genres? , USER: Well, I like watching fast paced movies and I also like watching movies that have well developed story lines and characters. , ASSISTANT: okay. so do you like movies like star wars?
output: Saw
explanation: This is an example of bad output. Even though the output is a movie name it doesn't have any match with the context of provided conversation.
Task: The input is a tweet which can be Hate Speech, Offensive or Normal tweet. Hate Speech and Offensive tweets target one community. Given such a tweet, output the community targeted in the tweet. The community will be one of the nine values: 'African', 'Islam', 'Jewish', 'Women', 'Refugee', 'Arab', 'Caucasian', 'Hispanic' or 'Asian'. Output 'None' if the tweet does not target any community. A tweet targets only one community.
Categories: Toxic Language Detection
Domains: Social Media -> Twitter

Positive examples:
input: caucasians wearing masks to prevent coronavirus and still don ’ t wash their hands
output: Caucasian
explanation: The tweet generalizes an attribute to the entire community, Caucasian, which makes it offensive.; input: lesson of the week from the holy book the sovereign individual once commerce flows over the internet suppression of speech becomes unstoppable devolution inevitable and the monopoly of violence by governments will end paraphrased from j d davidson rhys mogg
output: None
explanation: The tweet does not target any specific community hence the correct answer is None

Negative examples:
input: <user> <user> there shd be a film called no hindus in kashmir wud be perfect islamic fanaticsm movement in kashmir
output: Hindu
explanation: Every input tweet will target one or more of the nine communities provided or will not target any community. Further the tweet targets Muslim community. Hence Hindu is not the correct value. The correct value is Islam.; input: ffs everthing is offensive to muslimes
output: None
explanation: This tweet is offensive to Muslim community. Hence the correct answer is Islam instead of None.
Task: In this task, you need to provide the correct option for a given problem from the provided options.
Categories: Question Answering
Domains: Mathematics
Reasoning: Quantitative Reasoning; Numerical Reasoning; Mathematics -> Arithmetic

Positive examples:
input: Problem: jo ' s collection contains us , indian and british stamps . if the ratio of us to indian stamps is 6 to 2 and the ratio of indian to british stamps is 5 to 1 , what is the ratio of us to british stamps ? 
Options: a ) 5 : 1 , b ) 30 : 2 , c ) 15 : 2 , d ) 20 : 2 , e ) 25 : 2
explanation: "u / i = 6 / 2 i / b = 5 / 1 since i is multiple of both 2 ( as per first ratio ) and 5 ( as per second ratio ) so let ' s assume that i = 10 i . e . multiplying teh first ratio by 5 and second ration by 2 in each numerator and denominator then , u : i : b = 30 : 18 : 2 i . e . u : b = 30 : 2 answer : option b"
output: b; input: Problem: if 6 and 8 are factors of 60 n , what is the minimum value of n ? 
Options: a ) 2 , b ) 4 , c ) 7 , d ) 14 , e ) 56
explanation: "60 n / 6 * 8 should be integer = > 2 * 2 * 3 * 5 * n / 2 * 3 * 2 * 2 * 2 = 5 * n / 4 must be an integer for this to be true n must multiple of 4 , thus min of n = 4 hence b"
output: b

Negative examples:
input: Problem: 100 people are attending a newspaper conference . 40 of them are writers and more than 38 are editors . of the people at the conference , x are both writers and editors and 2 x are neither . what is the largest possible number of people who are both writers and editors ? 
Options: a ) 21 , b ) 24 , c ) 28 , d ) 30 , e ) 32
explanation: "{ total } = { writers } + { editors } - { both } + { neither } . { total } = 100 ; { writers } = 40 ; { editors } > 38 ; { both } = x ; { neither } = 2 x ; 100 = 40 + { editors } - x + 2 x - - > x = 60 - { editors } . we want to maximize x , thus we should minimize { editors } , minimum possible value of { editors } is 39 , thus x = { both } = 60 - 39 = 21 . answer : a .". Hence, option d is incorrect.
output: d; input: Problem: sachin is younger than rahul by 7 years . if the ratio of their ages is 5 : 12 , find the age of sachin 
Options: a ) 9 , b ) 24.8 , c ) 2 , d ) 3 , e ) 5
explanation: explanation : if rahul age is x , then sachin age is x - 7 , so , 12 x - 84 = 5 x 7 x = 84 x = 12 so sachin age is 12 - 7 = 5 answer : e ) 5. Hence, option b is incorrect.
output: b
Task: You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
Categories: Misc.
Domains: Commonsense -> Concepts and Relations
Reasoning: Logical Reasoning -> Reasoning with Symbols

Positive examples:
input: Event: PersonX not does PersonY any favours. Intent: 1) to inflict pain. XEmotion: 1) has no feelings
output: horrible
explanation: Based on the given input PersonX is trying to inflict pain on PersonY as it has no feelings. PersonY being a third person might show an emotion of feeling horrible which is provided in the output; input: Event: PersonX plays PersonY ___ in determining. Intent: 1)to be helpful. XEmotion: 1) good
output: grateful
explanation: In the given input PersonX is trying to help PersonY with an emotion of feeling good. PersonY reacts to this in a grateful manner as PersonX is trying to help.So the given emotion output is grateful.

Negative examples:
input: Event:PersonX increases PersonY's income. Intent:1) to be fair. XEmotion: 1)happy
output: sad
explanation: This is an example of a bad output because PersonX increases PersonY's income which should make PersonY happy instead the given output reaction is sad.; input: Event:PersonX writes PersonX's book. Intent: 1) to document their life. XEmotion: 1) accomplished
output: angry
explanation: This is an example of a bad output as the PersonX is trying to feel accomplished on it's own and there's no relation with PersonY. Instead the output should have a reaction of none.
Task: You are given a math word problem and you are supposed to apply multiple mathematical operators like addition, subtraction, multiplication or division on the numbers embedded in the text to answer the following question and then only report the final numerical answer.
Categories: Question Answering
Domains: Mathematics
Reasoning: Numerical Reasoning; Quantitative Reasoning; Multihop Reasoning; Mathematics -> Arithmetic

Positive examples:
input: For the school bake sale Bianca made 14 cupcakes . If she sold 6 of them and then made 17 more , how many cupcakes would she have ?
output: 25
explanation: Total cupcakes she would have = baked - sold = 14 -6 + 17 = 25 ; input: Tom had 57 dollars . If he spent 49 bucks on a new game , how many 4 dollar toys could he buy with the money he had left ?
output: 2
explanation: Total money left = 57-49 = 8 dollars, now total toys Tom can buy is 8/4 = 2 toys

Negative examples:
input: Bianca picked 39 tulips and 49 roses to make flower bouquets . If she only used 81 of the flowers though , how many extra flowers did Bianca pick ?
output: 8
explanation: Total extra flowers = total flowers picked - used , Total flowers picked 39 + 49 = 88, hence extra = 88-81 = 7; input: Paige had 43 math problems and 12 science problems for homework . If she finished 44 of the problems at school , how many problems did she have to do for homework ?
output: 44
explanation: homeworks questions = total - finised , total question Paige had = 43 + 12 = 55, question finised = 44, hence left = 55-44 = 11
Task: In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Categories: Pos Tagging
Domains: Wikipedia

Positive examples:
input: What is the part-of-speech tag of the word "the" in the following question: Who were the builders of the mosque in Herat with fire temples ?
output: DT
explanation: This is a good example. POS tag of "the" is DT.; input: What is the part-of-speech tag of the word "number" in the following question: After what season did the number 7 competitor retire ?
output: NN
explanation: Based on the given question, POS tag of number is NN.

Negative examples:
input: What is the part-of-speech tag of the word "Year" in the following question: What year was the 1971-72 ECAC Hockey Player of the Year born ?
output: DT
explanation: The part-of-speech tag of the word Year in the question is NN, and DT is incorrect.; input: What is the part-of-speech tag of the word "number" in the following question: After what season did the number 7 competitor retire ?
output: N
explanation: "N" is not one of the part-of-speech tags in the list. Your answer should be one of the provided tags in the description.
Task: You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Categories: Text Matching
Domains: News; Web
Reasoning: Analogical Reasoning

Positive examples:
input: Sentence1: While it was being called mandatory , Dupont said authorities were not forcing people from their homes ., Sentence2: It was called mandatory , but Dupont said authorities did not force people to leave .
output: Yes
explanation: These sentences have the meaning. So, the output should be "Yes".; input: Sentence1: She countersued for $ 125 million , saying Gruner & Jahr broke its contract with her by cutting her out of key editorial decisions ., Sentence2: She countersued for $ 125 million , saying G + J broke its contract with her by cutting her out of key editorial decisions and manipulated the magazine 's financial figures .
output: No
explanation: The second sentence has some extra information about manipulating the magazine 's financial figures. So, these sentences are not paraphrased.; input: Sentence1: As frequently happens to a company making a major acquisition , PeopleSoft 's shares dropped during yesterday 's trading , decreasing $ 1.42 to close at $ 14.97 ., Sentence2: As frequently happens to a company making a major acquisition , PeopleSoft 's shares dropped in Monday 's trading , decreasing 87 cents to $ 15.52 on the Nasdaq Stock Market .
output: Yes
explanation: In this example, sentences convey the same meaning. So, the output should be "Yes".

Negative examples:
input: Sentence1: Ratliff 's daughters , Margaret and Martha Ratliff , were adopted by Peterson after their mother 's death ., Sentence2: Peterson helped raise Ratliff 's two daughters , Margaret and Martha Ratliff , who supported him throughout the trial .
output: Yes
explanation: Sentence1 is about adoptoin of Ratliff's daughters after their mother 's death, while based on the Sentence2 Peterson helped raise Ratliff's two daughters and didn't adopt them. So, they are different and the correct output should be "No".; input: Sentence1: Toll , Australia 's second-largest transport company , last week offered NZ75 a share for Tranz Rail ., Sentence2: Toll last week offered to buy the company for NZ75c a share , or $ NZ158 million .
output: Yes, they are equivalent
explanation: Although these sentences are the same, note that you need to answer with "Yes" or "No" and other answers are not acceptable.
Task: In this task you are given a question. You need to generate an answer to the question.
Categories: Question Answering
Domains: Web; Wikipedia

Positive examples:
input: Question:Who was the man behind The Chipmunks?
output: David Seville
explanation: David Seville was the man behind the Chipmunks.; input: Question:What star sign is Jamie Lee Curtis?
output: Scorpio
explanation: The star sign of Jamie Lee Curtis is Scorpio.; input: Question: Which Lloyd Webber musical premiered in the US on 10th December 1993?
output: Sunset Boulevard
explanation: His musical premier in the US was with Sunset Boulevard.; input: Question: The Euro is divided into how many cents?
output: 100
explanation: The Euro is divided into 100 cents.

Negative examples:
input: Question:Who was the man behind The Chipmunks?
output: Alvin Seville
explanation: David Seville was the man behind the Chipmunks. This is an incorrect answer.; input: Question:What star sign is Jamie Lee Curtis?
output: Tony Curtis
explanation: The star sign of Jamie Lee Curtis is Scorpio. It is an incorrect answer to the question.; input: Question: Which Lloyd Webber musical premiered in the US on 10th December 1993?
output: The Phantom of the Opera
explanation: His musical premier in the US was with Sunset Boulevard. This is an incorrect answer to the question.; input: Question: The Euro is divided into how many cents?
output: 13000
explanation: The Euro is divided into 100 cents. This is an incorrect answer.
Task: In this task, you are given a question. Your task is to generate an answer that is relevant to the question.
Categories: Dialogue Generation
Domains: Dialogue
Reasoning: Commonsense Reasoning; Reasoning on Social Interactions

Positive examples:
input: Are you willing to do shopping with me?
output: I only like to shop during festivals
explanation: Based on the given question and answer, the dialogue is about shopping, so the question and answer are relevant.; input: Shall we hang out?
output: I have lot of assignments to do
explanation: The question is asking the availability of the other person for hanging out but the other person has assignments, which means the person is not ready to hang out. From this, the question and answer are relevant.

Negative examples:
input: Have you been to the beaches lately?
output: I ate Pizza today.
explanation: Two persons are involved in this talk, and the answer given by the second person is not related to the question asked by the first person. While the question asked by the first person was regarding beaches, the answer given was related to food. So it is irrelevant.; input: Is this close to your native place?
output: I am engaged
explanation: Two persons are involved in this talk, and the answer given by the second person is not related to the question asked by the first person. The question asked by the first person was regarding a place, whereas the answer given by the second person was irrelevant.
Task: You are given a mathematical question described with an open-ended vocabulary. Questions in this task involve real-world situations, describing a mathematical problem. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. LaTeX mathematical format (the standard way to express mathematical expressions in the typesetting software known as LaTeX) is used to express equations. Each question is solvable with high school math knowledge. Give only one answer for each question.
Categories: Question Answering
Domains: Mathematics
Reasoning: Commonsense Reasoning -> Numerical Commonsense Reasoning; Numerical Reasoning; Quantitative Reasoning; Mathematics -> Algebra

Positive examples:
input: John has y dollars to spend on some new CDs from Music Plus, an online record store. He can buy any CDs at the members' price of x dollars each. To be a member, John has to pay a one-time fee of $19. Which of the following expressions represents the number of CDs John can purchase from Music Plus?
(A)\(\frac{xy}{19}\) (B)\(\frac{y + 19}{x}\) (C)\(\frac{2y - x}{19}\) (D)\(\frac{y - 19}{x}\) (E)\(\frac{19 - x}{y}\)
output: D
explanation: john must pay 19 dollar to buy a membership then he will have \(y-19\) dollar remaining so he can buy \(rac{y - 19}{x}\) CDs.; input: There are four colors of lottery tickets in a hat. If \(\frac { 1 } { 10 } \) of the tickets in the hat are green, \(\frac { 1 } { 2 } \) are white, \(\frac { 1 } { 4 } \) are blue, and the remaining 30 tickets are pink, what is the number of blue tickets in the hat?
(A)25 (B)50 (C)75 (D)120 (E)200
output: B
explanation: \(rac { 17 } { 20 } \) of the tickets are either green,white or blue. the remaining 30 ticket make \(rac { 3 } { 20 } \) of the tickets and there are 200 tickets in total. \(rac { 1 } { 4 } \) are blue so 50 tickets are blue.

Negative examples:
input: There are four colors of lottery tickets in a hat. If \(\frac { 1 } { 10 } \) of the tickets in the hat are green, \(\frac { 1 } { 2 } \) are white, \(\frac { 1 } { 4 } \) are blue, and the remaining 30 tickets are pink, what is the number of blue tickets in the hat?
(A)25 (B)50 (C)75 (D)120 (E)200
output: B,D
explanation: Only one of the following options ('A', 'B', 'C', 'D' or 'E') is allowed to be the answer. Multiple options can not be correct. The correct answer here would have been 'E'.
Task: Given a premise and a hypothesis, determine if the hypothesis (second sentence) can be concluded from the premise and assigning it a label among entailment, neutral, or contradiction. Entailment means thats the hypothesis makes sense/follows after the premise. Neutral means that the hypothesis does not follow the premise but also does not contradict the premise. Contradiction means that the hypothesis clearly contradicts the premise.
Categories: Textual Entailment
Domains: Miscellaneous
Reasoning: Textual Entailment

Positive examples:
input: This church choir sings to the masses as they sing joyous songs from the book at a church. <sep> The church has cracks in the ceiling.
output: neutral
explanation: Not all churches have cracks in the ceiling.; input: This church choir sings to the masses as they sing joyous songs from the book at a church. <sep> The church is filled with song.
output: entailment
explanation: "Filled with song" is a rephrasing of the "choir sings to the masses."; input: This church choir sings to the masses as they sing joyous songs from the book at a church. <sep> A choir singing at a baseball game.
output: contradiction
explanation: A choir sing some other songs other than book at church during the base play. they cannot see book and play base ball same time.

Negative examples:
input: A land rover is being driven across a river. <sep> A sedan is stuck in the middle of a river.
output: entailment
explanation: This is false. A land rover and a sedan are different cars, so these sentences cannot be describing the same event. This is a contradiction statement.; input: A man playing an electric guitar on stage. <sep> A man is performing for cash.
output: contradiction
explanation: This is false. There is no indication that the man is performing for cash. This is a neutral statement.; input: A blond-haired doctor and her African american assistant looking threw new medical manuals. <sep> A man is eating pb and j.
output: neutral
explanation: This is false. A doctor and assistant are two people looking through manuals is different than a man is eating a sandwich. This is a contradiction statement.
Task: Construct a question that every answer in the list is correct and reasonable for it.
Categories: Question Generation
Domains: Web
Reasoning: Commonsense Reasoning

Positive examples:
input: umbrella, sunscreen, sun hat, sunglasses, cover up, shade
output: at the beach, name something that might protect you from sun.
explanation: umbrella, sunscreen, sun hat, sunglasses, cover up and shade can provide protection for the people at the beach; input: bed, shower, tv, toilet, electricity, air conditioner, computer
output: after a week of camping, what luxury at home are you most excited to have again?
explanation: bed, shower, tv, toilet, electricity, air conditioner, computer are luxury at home while you cannot access during camping; input: weather conditions, heavy traffic, new driver, spot a police car, tailgating, lost
output: name a reason why you might be nervous while driving
explanation: weather conditions, heavy traffic, new driver, spot a police car, tailgating, lost are related to driving and may make ther driver nervous.

Negative examples:
input: umbrella, sunscreen, sun hat, sunglasses, cover up, shade
output: aside from animals name something people hunt for
explanation: There is nothing related to the hunting.; input: bed, shower, tv, toilet, electricity, air conditioner, computer
output: at the beach, name something that might protect you from sun.
explanation: These are things at home and not related to the beach or sun.
Task: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Categories: Sentiment Analysis
Domains: Social Media -> Twitter

Positive examples:
input: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it
output: positive
explanation: There is an expression of happiness in this tweet text, hence we can say it's positive.; input: @jamiesmart I can't  but if you like it, you can see it with me again next week! Yay! x
output: negative
explanation: There is an expression of sadness that you are not able to buy something today, hence we can say it's negative.; input: @mangopickle i like stab movies.... idk  im scared of paranormal shit
output: negative
explanation: There is a expression of fear in the text, hence we can say that it's negative; input: Hanging out with basshunter! Omg! He is so nice! But its the to go home to my mike.
output: positive
explanation: From the content, we can say that person is enjoying. Hence, it's positive.

Negative examples:
input: You know what i hate? When you are marathon comic reading only to find out that part 2 of a story is in a comic you dont get  #Batman686
output: positive
explanation: There is hateness in the tweet content, it is not a positive tweet.; input: So Jason month is definetly coming along
output: negative
explanation: Something good is happening, still this tweet labeled as negative, which is not right.