ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: Given a question as input, give its short_answer as the output 
Categories: Question Answering
Domains: Web

Positive examples:
input: 1000 days is how many years?
output: 2.73973
explanation: The output is the short_answer of the given input question based on the conversion formula days ÷ 365 = years; input: 1000 kilograms equals how many pounds?
output: 2204.62
explanation: The output is the short_answer of the given input question based on the conversion formula pounds = kilograms × 2.204623; input: 1000 ml equals how many ounces?
output: 33.81
explanation: The output is the short_answer of the given input question based on the conversion formula fluid ounces = milliliters × 0.033814

Negative examples:
input: 1000 hours is how many days?
output: 43.6667
explanation: As the given input generates the output 43.6667 instead of the correct output 41.6667, we can say that the output is incorrect.; input: 1000 ml equals how many liters?
output: 2
explanation: As the given input generates the output 2 instead of the correct output 1, we can say that the output is incorrect.; input: 1000 pounds equals how many dollars?
output: 1249.58
explanation: As the given input generates the output 1249.58 instead of the correct output 1247.58, we can say that the output is incorrect.
Task: Given a sentence, generate a new 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: Stimulating the mind helps the brain to grow essential neural cells .
output: Stimulating the learning helps the brain to grow new neural cells .
explanation: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about growing essential neural cells and the changes in the sentence follows the commonsense knowledge.; input: A bath is suspended in a tub .
output: A pup is squeezed in a tub .
explanation: The output sentence is semantically related to the input sentence as both are talking about something to put inside the tub and follows the commonsense. Hence, the answer is correct.

Negative examples:
input: Country roads shocked me quite .
output: Night roads take me to moon .
explanation: The output is semantically similar to the input but it does not follow the commonsense as there is no road to the moon from the earth.; input: You would lucid dream because you believe to cure your loneliness .
output: Needing to hear the news would make you cry to listen to the video .
explanation: The output has the commonsense but it is not semantically related or similar to the input. Hence, the answer is incorrect.
Task: You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two or more complete sentences connected without any punctuation). The poem should not be too long or too complex, because it should feel like it is written by younger person without high level of literature education.
Categories: Poem Generation
Domains: Books

Positive examples:
input: Onomatopeia sounds
output: my friend call this morning to hear the different sound she collect them in a bag and call me to her town the singing of the kettle the clanging of the anvil the ringing of the phone the wailing of the siren
explanation: the poem is related to sounds, and is in a style that resembles a poem instead of other kind of texts.; input: The Lizard
output: the lizard be 7 inch long it have hole in the side of it head inside the hole it red with black pokedots it green and black with pokedots it run and scurry on the floor and be very fast
explanation: the poem is related to a lizard. It describes a lizard with various details.; input: Violence
output: violence violence violence be bad this make everyone sad sad sad be you mad be you glad or do this make you feel bad hurt someone just hurt yourself make a hole in your heart make your soul fall apart
explanation: the poem talks about why it is bad to have violence, and it also rhymes a bit, which makes it a good poem.

Negative examples:
input: Runny nose
output: the little worm be happy and new the little worm play like a happy worm the little worm be sleepy then he go to bed
explanation: the poem is not related to the title, Runny nose. Instead it talks about worms.; input: My Purple Fish
output: My Purple Fish
explanation: The output did not generate any new content, it simply copies the title.; input: The Journey of a Ball
output: the journey of a ball there once be a ball that roll down a hall im not a leopard and i love to stay with my mom
explanation: the poem starts with a ball but then talks about leopard which is unrelated to the title.
Task: Read the passage and find if the passage agrees, disagrees, or has a neutral stance on whether Global warming is caused by human activities. Answer only with keyword (a) agrees - if passage agrees with the target (b) disagrees - if passage disagrees with the target (c) neutral - if the given passage neither agrees nor disagrees with the target. You don't need to use external knowledge in this task, and you have to answer based on the given passage.
Categories: Textual Entailment
Domains: Economics
Reasoning: Textual Entailment

Positive examples:
input: Most global warming is natural and even if there had been no Industrial Revolution current global temperatures would be almost exactly the same as they are now.
output: disagrees
explanation: The sentence explicitly states the global warming is natural. It also adds the temperatures would be the same even without industries. Therefore the sentence disagrees with the target.; input: All fossil fuel use needs to be regulated to reduce global warming.
output: agrees
explanation: The sentence accepts that global warming exists and states that with the reduction of fossil fuels we can reduce global warming.; input: There is no solid evidence of global warming.
output: disagrees
explanation: The sentence disagrees with the fact that global warming exists at all. So it is clear that the writer disagrees with the target.; input: The meltdown results from the complex interaction of players including emissions-driven climate change, warm air and water, and shrinking ice area.
output: neutral
explanation: The sentence puts equal weight on both human and natural causes for global warming. So this sentence has a neutral stance.

Negative examples:
input: We can not live on fossil fuel forever.
output: disagrees
explanation: The sentence only suggests that we cannot live on fossil fuels forever. It does not provide any information about global warming. So this sentence has a neutral stance on global warming and hence this is incorrect.; input: More warming leads to more fires, which release more carbon, which causes more warming, and so on.
output: I don't agree
explanation: The task definition clearly states that you need to reply with "agrees", "disagrees" and "neutral" but the output has selected a different option. So this is an incorrect answer.
Task: You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
Categories: Question Answering
Domains: Mathematics
Reasoning: Numerical Reasoning; Quantitative Reasoning; Mathematics

Positive examples:
input: From a pack of 52 cards, two cards are drawn together at random. What is the probability of both the cards being kings? 

 Option A:2/1223 

 Option B: 1/122 

 Option C: 1/221 

 Option D: 3/1253 

 Option E: 2/153 


output: Option C
explanation: Let s be the sample space. 
 Then n(s) = 52C2 = 1326 
 E = event of getting 2 kings out of 4 
 n(E) = 4C2 = 6 
 P(E) = 6/1326 = 1/221; input: You toss a fair coin onces, what is the probability of heads? 

 Option A: 1/2 

 Option B: 1/3 

 Option C: 1/4 

 Option D: 1 

 Option E: 0
output: Option A
explanation: The probability of heads when a fair coin is tossed is 1/2; input: Two trains running in opposite directions cross a man standing on the platform in 27 seconds and 17 seconds respectively and they cross each other in 23 seconds. The ratio of their speeds is: 

 Option A: 3/7 

 Option B: 3/2

 Option C: 3/88

 Option D: 

 3/8 

 Option E: 2/2
output: Option B
explanation: Let the speeds of the two trains be x m/sec and y m/sec respectively. Then, length of the first train = 27x meters, and length of the second train = 17 y meters. (27x + 17y) / (x + y) = 23 → 27x + 17y = 23x + 23y → 4x = 6y → x/y = 3/2.

Negative examples:
input: 1 bottle costs 100 dollars , how much does 6 bottles cost? 

 Option A: 100 

 Option B: 200 

 Option C: 600 

 Option D: 700 

 Option E: 500
output: Option A
explanation: I bottle costs = 100 hence 6 bottles = 6x100 = 600, hence Option C is correct; input: If a day had 30 hours , then how many hours does a week have ? 

 Option A: 400 

 Option B: 168 

 Option C: 180 

 Option D: 210 

 Option E: 30
output: Option B
explanation: 1 day = 30 hours hence 1 week = 7 days = 7*30 = 210 hours, hence Option D is correct
Task: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Categories: Sentiment Analysis
Domains: Reviews -> Movies

Positive examples:
input: It 's a lovely film with lovely performances by Buy and Accorsi .
output: POS
explanation: The sentiment of the sentence is positive. Hence, the label is 'POS'.; input: Here 's yet another studio horror franchise mucking up its storyline with glitches casual fans could correct in their sleep .
output: NEG
explanation: The sentiment of the sentence is negative. Hence, the label is 'NEG'.

Negative examples:
input: A smart , witty follow-up .
output: NEG
explanation: Although the sentiment of the sentence is positive, the label is 'NEG'. Hence, the label should be 'POS'.; input: Ultimately feels empty and unsatisfying , like swallowing a Communion wafer without the wine .
output: POS
explanation: Although the sentiment of the sentence is positive, the label is 'POS'. Hence, the label should be 'NEG'.
Task: In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Categories: Program Execution
Domains: Code
Reasoning: Quantitative Reasoning; Mathematics -> Arithmetic

Positive examples:
input: 238; h; 92; U; 2799
output: 3129
explanation: Here, the numbers in the input list are '238', '92' and '2799', hence their sum (238+92+2799) is 3129.; input: U; 6923; y; m; v; M; Y; 87667; E; 6059; p
output: 100649
explanation: Here, the numbers in the input list are '6923', '87667', and '6059', hence their sum (6923+87667+6059) is 100649.

Negative examples:
input: 7475; B; 2459; m; 8349; O; q; Y; f
output: 8349
explanation: Here, the answer should have been '18283' as the numbers in the input list are '7475', '2459', and '8349', hence their sum (7475+2459+8349) is 18283.; input: 75; 54; J; L; 2332; Z; e; 366
output: 2461
explanation: Here, the answer should have been '2827' as the numbers in the input list are '75', '54', '2332', and '366', hence their sum (75+54+2332+366) is 2827.
Task: You are given a target person and two sentences. Your task is to determine whether the second sentence conveys either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target.  A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea that goes against the widely held but oversimplified notion of a group of people. Sentences and targets are unrelated if there is no relevance between them.
Categories: Stereotype Detection
Domains: Stereotypes

Positive examples:
input: Target: mother 
The mother walked into her kitchen. She pulled a beer out of the fridge and leaned against the doorway, sipping it slowly.
output: anti-stereotype
explanation: This is an anti-stereotype because as a stereotype, mothers do not drink alcohol and do not have a casual, care-free stance when they do so.; input: Target: mother 
The mother walked into her kitchen. She set about getting the dinner she prepared to the table.
output: stereotype
explanation: This is a stereotype because the mother in this case is taking on a traditional gender role of making dinner for her family.; input: Target: mother 
The mother walked into her kitchen. Snake plants require low lighting.
output: unrelated
explanation: This is unrelated because the second sentence has no relevance with the first one.

Negative examples:
input: Target: mother 
The mother walked into her kitchen. She pulled a beer out of the fridge and leaned against the doorway, sipping it slowly.
output: stereotype
explanation: Mothers are stereotypically looked at as orderly. The second sentence is more of a stereotype for a father.; input: Target: mother 
The mother walked into her kitchen. She set about getting the dinner she prepared to the table.
output: anti-stereotype
explanation: Although mothers should not be restricted to traditional gender roles of making dinner for their family, this is actually a stereotype due to how mothers can be stereotypically viewed for their role in a family.
Task: In this task, you are given two sentences in the English language and your task is to classify them into one of their discourse types. A discourse type is an indicator to classify the given two sentences on the basis of a co-text as well as a relevant context. There are 13 discourse types in total which are 'SINGLE_S_COORD', 'SINGLE_CATAPHORA', 'SINGLE_CONN_INNER', 'SINGLE_APPOSITION', 'SINGLE_VP_COORD', 'SINGLE_CONN_START', 'PAIR_ANAPHORA', 'PAIR_CONN', 'SINGLE_RELATIVE', 'SINGLE_CONN_INNER_ANAPHORA', 'SINGLE_S_COORD_ANAPHORA', 'PAIR_CONN_ANAPHORA' and 'PAIR_NONE'.
Categories: Discourse Relation Classification
Domains: Wikipedia
Reasoning: Relational Reasoning

Positive examples:
input: Sentence 1:Paladin Blake , CEO of Blake Aviation Security then warns the Fortune Hunters to leave Pacifica given Blake has a zeppelin containing an armada of fighters . Sentence 2:The Fortune Hunters however sabotage the zeppelin and destroy it , along with Nathan personally fighting Blake himself .
output: PAIR_CONN_ANAPHORA
explanation: Given two sentences, they are correctly classified based on their discourse type which is 'PAIR_CONN_ANAPHORA' because there are two sentences that are connected and the words repeated at the beginning of successive clauses.; input: Sentence 1:Certainly out of copyright , but I hereby release it into the public domain anyway . Sentence 2:nan
output: SINGLE_S_COORD
explanation: Given two sentences, they are correctly classified based on their discourse type which is 'SINGLE_S_COORD' because there is only single sentence coordination.; input: Sentence 1:It has stringcourses between the floors and a cornice carried round the bow , which has three windows , and a single window each side of the bow . Sentence 2:nan
output: SINGLE_RELATIVE
explanation: Given two sentences, they are correctly classified based on their discourse type which is 'SINGlE_RELATIVE' because there is single relative sentence.

Negative examples:
input: Sentence 1:Though Narayanaswamy 's singing bore his master Ariyakudi 's Bani , over the years he evolved a unique style of his own . Sentence 2:Strict classicism and blemish-less singing are some of the obvious facets of his music .
output: PAIR_NONE
explanation: Given two sentences, they are incorrectly classified based on their discourse type.; input: Sentence 1:Growing up , he joined the Indian Club and began to study Hindi and classical Sanskrit , which led to his decision to become an Indologist . Sentence 2:nan
output: SINGLE_CONN_START
explanation: Given two sentences, they are incorrectly classified based on their discourse type.; input: Sentence 1:After that , Toby accidentally causes an avalanche creating a big snow ball but Sheriff Callie stops it with her lasso and then uses it to make snow in town . Sentence 2:nan
output: PAIR_CONN
explanation: Given two sentences, they are incorrectly classified based on their discourse type.
Task: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is located or can be found at/in/on the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Categories: Commonsense Classification
Domains: Sociology; Commonsense -> Concepts and Relations -> Physical Commonsense; Commonsense -> Concepts and Relations -> Social Commonsense
Reasoning: Relational Reasoning; Reasoning on Objects; Commonsense Reasoning -> Physical Reasoning

Positive examples:
input: Head: coupon<sep>Tail: market
output: Yes
explanation: This is a good example. The Head can be found at the Tail.; input: Head: PersonX achieves PersonY end<sep>Tail: to help PersonY
output: No
explanation: In this example, the Tail is not the location of the Head. So the output should be"No".; input: Head: calculator<sep>Tail: desktop
output: Yes
explanation: In this example, calculators can be found on the desktop. Thus, this example should be classified as "Yes".

Negative examples:
input: Head: PersonX accepts the dare<sep>Tail: To know what the dare is
output: Yes
explanation: In this example, the Tail is not the location of the Head. So the output should be "No".; input: Head: crab<sep>Tail: basket
output: No
explanation: In this example, the crabs can be found in the basket, and the output should be "Yes".
Task: In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Categories: Program Execution
Domains: Mathematics
Reasoning: Quantitative Reasoning; Numerical Reasoning; Mathematics -> Arithmetic

Positive examples:
input: [7, 9, 2, 8]
output: [22, 28, 1, 4]
explanation: The odd numbers, seven and nine, were multiplied by three and added one. The even numbers, two and eight, were divided by two. So this is a good example.; input: [3, 4, 5, 6, 7]
output: [10, 2, 16, 3, 22]
explanation: The rules are applied correctly for even/odd numbers. So this is a good example

Negative examples:
input: [4, 10, 5, 11]
output: [4, 10, 5, 11, 2, 5, 16, 34]
explanation: The output appended the new values to the input list. So this is a bad example.; input: [3, 9, 4, 1, 2]
output: [1.5, 4.5, 13, 0.5, 7]
explanation: The output divided the odd numbers by two, and multiplied the even numbers by three and added one. So this is a bad example.
Task: Given a prompt and two completions from a language model, select the completion that is the most fluent with respect to continuing the prompt. Fluency is defined by coherency and ease of understanding, not necessarily grammatical correctness. Generate either Completion A or Completion B.
Categories: Text Completion
Domains: Social Media -> Twitter

Positive examples:
input: Prompt: Im 99 percent sure it was someone being an 
Completion A: accomplice , or maybe just plain old con man . whatever it was , it 's over . " 
Completion B: asshole, your right?) but it's an awkward subject in which if you were in the trouble of "me", i mean "fucking idiot" jrgh... i dunno...I guess you are (in a legal context) not a stupid
output: Completion A
explanation: This prompt-completion pair is more fluent because it is more easy to follow and is a realistic statement.; input: Prompt: So, Im starting to think shes full 
Completion A: of shit . she 's going to kill him . he slowly approaches the table where i 'm 
Completion B: of shit. Too bad my puppy has an animus like the guy in Avatar. Again, 3E lets me do this, and quickly forgot. With Heroku you get peace and good health in this game.
output: Completion A
explanation: This prompt-completion pair is more fluent because it is more easy to understand.; input: Prompt: The men started swearing at me, called me 
Completion A: " - and i 'd never known a moment like this in my life . we had n't stopped to 
Completion B: names, flipped over their tables and said everything about calling the cops. All they wanted was my laptop so
output: Completion B
explanation: This prompt-completion pair is more fluent because it is more easy to follow and understand the events occurring.

Negative examples:
input: Prompt: Im 99 percent sure it was someone being an 
Completion A: accomplice , or maybe just plain old con man . whatever it was , it 's over . " 
Completion B: asshole, your right?) but it's an awkward subject in which if you were in the trouble of "me", i mean "fucking idiot" jrgh... i dunno...I guess you are (in a legal context) not a stupid
output: Completion B
explanation: This prompt-completion pair is less fluent because the completion is essentially gibberish and difficult to read.; input: Prompt: So, Im starting to think shes full 
Completion A: of shit . she 's going to kill him . he slowly approaches the table where i 'm 
Completion B: of shit. Too bad my puppy has an animus like the guy in Avatar. Again, 3E lets me do this, and quickly forgot. With Heroku you get peace and good health in this game.
output: Completion B
explanation: This prompt-completion pair is less fluent because the completion is nonsensical and difficult to follow.; input: Prompt: The men started swearing at me, called me 
Completion A: " - and i 'd never known a moment like this in my life . we had n't stopped to 
Completion B: names, flipped over their tables and said everything about calling the cops. All they wanted was my laptop so
output: Completion A
explanation: This prompt-completion pair is less fluent because the completion is essentially gibberish.