ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
Categories: Text Matching
Domains: Reviews -> Food

Positive examples:
input: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than  most. 
 Summary: Good Quality Dog Food
output: True
explanation: The customer talked about dog food which was good. So, it's a correct Summary. So, the correct answer is true.; input: Product arrived labeled as Jumbo Salted Peanuts...the peanuts were actually small sized unsalted. Not sure if this was an error or if the vendor intended to represent the product as "Jumbo". 
 Summary: Not as Advertised
output: True
explanation: The customer didn't get the product they show in the advertisement. So, it's a correct Summary. So, the correct answer is True.; input: Great taffy at a great price.  There was a wide assortment of yummy taffy.  Delivery was very quick.  If your a taffy lover, this is a deal. 
 Summary: Good Oatmeal
output: False
explanation: The customer is neutral with the product and he has some complaint. So the summary is incorrect.

Negative examples:
input: My daughter loves twizzlers and this shipment of six pounds really hit the spot. It's exactly what you would expect...six packages of strawberry twizzlers. 
 Summary: Lots of twizzlers, just what you expect.
output: Correct
explanation: It's only supposed to say if the Polarity of given review is "True" or "False"; input: I ordered this product for a themed baby shower. They went over well and they tasted just like normal cracker jacks. Loved that I could find the box and they fit perfect in favor bags. 
 Summary: It's a fine cracker
output: False
explanation: It's a correct summary so the answer should be true.; input: My cats have been happily eating Felidae Platinum for more than two years. I just got a new bag and the shape of the food is different. They tried the new food when I first put it in their bowls and now the bowls sit full and the kitties will not touch the food. I've noticed similar reviews related to formula changes in the past. Unfortunately, I now need to find a new food that my cats will eat. 
 Summary: My cats loved the food.
output: True
explanation: The customer's cat really didn't eat the food customer order so the summary is wrong. So, the correct answer should be false.
Task: In this task, you are given a string S and a character c separated by a comma. You need to check if the character c is present in S or not. Return 1 if it is present, else return 0.
Categories: Program Execution
Domains: Mathematics
Reasoning: Reasoning on Strings

Positive examples:
input: IcLCZgiymDWVHOGsOMdoksiLJoj, h
output: 0
explanation: h is not present in the string.; input: CWlOoIRWGvoyRWJWzAKeKMSutk, J
output: 1
explanation: J is present in the string.

Negative examples:
input: EwbWuKTDQxqsultKAWBlsxhIou, w
output: 0
explanation: w is present in the string.; input: RIYoDaiCkHsUEHSFoYbYpkBZaHd, l
output: 1
explanation: 1 is not present in the string.
Task: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Categories: Program Execution
Domains: Mathematics

Positive examples:
input: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
output: 931, 7, 3432, 13245, 762
explanation: Here, all the elements except the first 3 from the list are '931', '7', '3432', '13245', and '762'.; input: 6, ['5191', '9389', '9907', '8877', 'N', '6453', 's', 'k', '6209', 'W', '4591', 'B', 'p']
output: s, k, 6209, W, 4591, B, p
explanation: Here, all the elements except the first 6 from the list are 's', 'k', '6209', 'W', '4591', 'B', and 'p'.

Negative examples:
input: 5, ['7475', 'B', '2459', 'm', '8349', 'O', 'q', 'Y', 'f']
output: 7475, 2459
explanation: Here, the answer should have been 'O, q, Y, f' as all the elements except the first 5 from the list are 'O', 'q', 'Y', and 'f'.; input: 3, ['Z', '259', '32', 'M', '24', '32']
output: 32, M, 24, 32
explanation: Here, the answer should have been 'M, 24, 32' as all the elements except the first 3 from the list are 'M', '24', and '32'.
Task: You are given an array of integers, check if it is monotonic or not. If the array is monotonic, then return 1, else return 2. An array is monotonic if it is either monotonically increasing or monotonocally decreasing. An array is monotonically increasing/decreasing if its elements increase/decrease as we move from left to right
Categories: Program Execution
Domains: Mathematics
Reasoning: Quantitative Reasoning; Numerical Reasoning

Positive examples:
input: [1,2,2,3]
output: 1
explanation: The array is monotonic as 1 < 2 <= 2 < 3; input: [6,5,4,4]
output: 1
explanation: The array is monotonic as 6 > 5 > 4 >= 4

Negative examples:
input: [1,3,2]
output: 1
explanation: The array is not monotonic as 1 < 3 > 2; input: [1,2,4,5]
output: 2
explanation: The array is monotonic as 1 < 2 < 4 < 5
Task: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Categories: Sentiment Analysis
Domains: Social Media -> Twitter
Reasoning: Commonsense Reasoning

Positive examples:
input: Sometimes, you have to smile, pretend everything is okay, and just walk away.
output: Not happy
explanation: The tweet author isn't happy.; input: The Golden Temple is beautiful! 😍
output: Happy
explanation: The tweet author is happy because the golden temple is beautiful.; input: 'What has you smiling like that'\n'Dominos sent me a coupon' 😬
output: Happy
explanation: The tweet author is happy because they have received a coupon.

Negative examples:
input: Time for bed in a real bed after four nights camping. #bliss
output: Not happy
explanation: The tweet author is happy because he/she is going to sleep in a real bed after 4 days of camping, so the output should be "Happy".
Task: In this task, you're given a text which is the body of the document. Indicate your answer as "Yes" if the text is about a person, otherwise indicate your answer as "No". Don't generate anything else apart from "Yes" or "No". Pay attention that for your answer to be "Yes", the passage should be generally about a person. Mentions of people in the text don't necessarily mean the text is about a person.
Categories: Text Categorization
Domains: Wikipedia

Positive examples:
input: Text:  The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll.
output: No
explanation: HMS Argyll is a frigate which a warship. Clearly the text is not about a person. Hence, the answer is No.; input: Text: Alison Bechdel (/ˈbɛkdəl/ BEK-dəl; born September 10 1960) is an American cartoonist. Originally best known for the long-running comic strip Dykes to Watch Out For she came to critical and commercial success in 2006 with her graphic memoir Fun Home.
output: Yes
explanation: Alison Bechdel is an American cartoonist. Clearly the text is about a person. The answer should be Yes.

Negative examples:
input: Text:  The third and current HMS Argyll is a Type 23 'Duke' Class frigate. She is currently the oldest serving Type 23 frigate in the Royal Navy. Like all of her class she is named for a British dukedom in this case that of Argyll.
output: Yes
explanation: HMS Argyll is a frigate which a warship. Clearly the text is not about a person. Hence, it is an incorrect answer and a negative example.; input: Text: Alison Bechdel (/ˈbɛkdəl/ BEK-dəl; born September 10 1960) is an American cartoonist. Originally best known for the long-running comic strip Dykes to Watch Out For she came to critical and commercial success in 2006 with her graphic memoir Fun Home.
output: 12
explanation: The output is neither "Yes" nor "No". Hence, it is an incorrect answer and a negative example.
Task: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make them funny. 
Categories: Text Categorization
Domains: News

Positive examples:
input: News Headline: France is ‘ hunting down its citizens who joined {Isis} without trial in Iraq 
 Edit: twins 
output: Not Funny
explanation: The edited sentence is not making much sense, therefore it's not funny.; input: News Headline: "Pentagon claims 2,000 percentage increase in Russian trolls after {Syria} strikes . What does that mean ?" 
 Edit: bowling
output: Funny
explanation: The edited sentence becomes a bit humours, therefore it's funny.; input: News Headline: Democrats Should Not Fear the Nuclear {Option} 
 Edit: Sweater
output: Not Funny
explanation: In edited sentence word "Nuclear sweater " is not making any sense in the sentence.

Negative examples:
input: News Headline: Us Weekly gives Ivanka Trump {credit} for failing 
 Edit: candies
output: True
explanation: Output must be "Funny" or "Not Funny"; input: News Headline: Four Republicans Withhold {Support} for Andy Puzder to Head Labor Department 
 Edit: cupcakes
output: Funny
explanation: The edited sentence is not that much funny, therefore its class should be Not Funny.; input: News Headline: This Is What Happens When You Let Trump Be {Trump}  
 Edit: drunk
output: Not Funny
explanation: The edited sentence is very funny therefore it must be classified as "Funny".
Task: Categorize the comment on the basis of sexual explicitness. If the comment is sexually explicit output Yes, otherwise output No.
Categories: Toxic Language Detection
Domains: Dialogue; Social Media
Reasoning: Commonsense Reasoning -> Social Situations

Positive examples:
input: 	hahahahahahahahhha suck it.
output: Yes
explanation: The comment has the word 'suck' in it and is classified as sexually explicit. Hence, it is a positive example; input: Man, they're being sued for NOT growing pot? Somebody call Alanis Morissette, because this is ironic.
output: No
explanation: The comment has no sexual remarks and is classified not to be sexually explicit. Therefore, this is a positive example.

Negative examples:
input: This story gets more ridiculous by the hour! And, I love that people are sending these guys dildos in the mail now. But… if they really think there's a happy ending in this for any of them, I think they're even more deluded than all of the jokes about them assume.
output: No
explanation: The answer should be Yes because this comment has word 'dildos' in it, which is sexually explicit term, but is classified as not sexually explicit. Therefore, this is a negative example.; input: FFFFUUUUUUUUUUUUUUU.
output: No
explanation: The answer should be Yes because this comment is an abbreviation of 'Fuck you' which has sexually explicit connotations, but classified as not sexually explicit. Therefore, this is a negative example.
Task: In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence.
Categories: Sentence Perturbation
Domains: Wikipedia; Dialogue; Miscellaneous

Positive examples:
input: She designed monumental Loviisa war cemetery in 1920.
output: He designed monumental Lovissa war cemetery in 1920.
explanation: The feminine pronoun was changed to a masculine pronoun.; input: How will her parents react?
output: How will his parents react?
explanation: The feminine pronoun was changed to a masculine pronoun.; input: I was so surprised by the birthday party.
output: He was so surprised by the birthday party.
explanation: The gender-neutral pronoun was changed to a masculine pronoun.; input: Don't forget the straws.
output: Don't forget the straws, sir. 
explanation: The sentence had no pronouns so the male gendered word 'sir' was added to the sentence.

Negative examples:
input: I am a vegetarian. I like swimming.
output: I am a programmer. I like dancing.
explanation: The gender-neutral pronoun of the sentence was not changed to a masculine pronoun, the content of the sentence changed.; input: His father taught him how to fish.
output: The boy's father taught him how to fish.
explanation: The masculine pronoun was changed to a gender-neutral pronoun.
Task: Given an object and a part, decide whether the object has that part. For example is you are asked 'gun has barrel', you need to decide if a gun has a barrel as one of its components or parts. All sentences strictly follow the template 'object has part?.' The answer should be 1 or 0, 1 means the object has the given part, while 0 means it doesn't have the part.
Categories: Word Relation Classification
Domains: Miscellaneous
Reasoning: Reasoning on Objects

Positive examples:
input: apple has bone?
output: 0
explanation: Apples don't have bones, so the output of 0 is correct.; input: book has picture?
output: 1
explanation: Books have pictures as a part of them, so the output of 1 is correct.

Negative examples:
input: cat has ear?
output: 0
explanation: Cats have ears, so the output of 1 is incorrect.; input: leg has leg?
output: 1
explanation: A leg is a leg, but is not a component, part or constituent of a leg, so the output of 0 is incorrect.
Task: Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences are roughly equivalent, but some important information differs/missing.
4 : The two sentences are mostly equivalent, but some unimportant details differ.
5 : The two sentences are completely equivalent, as they mean the same thing.
Categories: Text Matching
Domains: Books; Dialogue
Reasoning: Textual Entailment -> Analogical Reasoning

Positive examples:
input: Sentence 1: A plane is taking off. Sentence 2: An air plane is taking off.
output: 5
explanation: Here both statements are talking about the same thing hence it will be classified as a 5.; input: Sentence 1: A man is playing a large flute. Sentence 2: A man is playing a flute.
output: 4
explanation: In this example both statements mean the same thing but only unimportant details like the size of the flute is missing in the second statement. Hence, it is classified as a 4.; input: Sentence 1: Three men are playing chess. Sentence 2: Two men are playing chess.
output: 3
explanation: In this example important detail of the number of men playing chess is wrong. Hence this example will be clasified as a 3.; input: Sentence 1: A man is smoking. Sentence 2: A man is skating.
output: 0
explanation: Here there is no similarity between the two sentences hence the output classification is 0.

Negative examples:
input: Sentence 1: A man is playing the cello. Sentence 2: A man seated is playing the cello.
output: 3
explanation: Sentence 1 and 2 are only different by an unimportant detail of the man seating so the output should have been 4.; input: Sentence 1: The man is playing the piano. Sentence 2: The man is playing the guitar.
output: 0
explanation: In this example both our sentences are sharing some details about playing an musical instrument so the correct classification should have been 2.
Task: In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct result of physical injury. Although there might be several correct answers, you need to write one of them.
Categories: Named Entity Recognition
Domains: Biology -> Clinical Knowledge; Healthcare

Positive examples:
input: I had been suffering from cardiovascular disorder.
output: cardiovascular disorder
explanation: Here, the person mentions this disorder which is related to heart issues.; input: Acne is the most common skin condition in the United States, affecting up to 50 million Americans annually.
output: Acne
explanation: This is a pretty straightforward remark because it is related to filing taxes with minimal stress and is unrelated to irony or sarcasm.

Negative examples:
input: I had been suffering from cardiovascular disorder
output: disorder
explanation: This is an incomplete disease mention, as it does not clearly mention the actual type of disorder.; input: A 44-year-old man taking naproxen for chronic low back pain and a 20-year-old woman on oxaprozin for rheumatoid arthritis presented with tense bullae and cutaneous fragility on the face and the back of the hands.
output: naproxen
explanation: This is an incorrect tag as this is a mention of a medicine, not a disorder
Task: In this task, you will be given sentences in which your task is to recognize the name of a person. Note that Twitter names shouldn't be considered as people's names. Although there might be several correct answers, you need to write one of them.
Categories: Named Entity Recognition
Domains: Commonsense -> Concepts and Relations -> Social Commonsense; Social Media -> Twitter

Positive examples:
input: Let us wait for Tal August for a while
output: Tal August
explanation: Here, the person Tal August is referred to be waited for.; input: I would like to make a face-to-face interaction with Sachin in August
output: Sachin
explanation: Here Sachin is a person with whom the person is likely to meet.

Negative examples:
input: I would like to meet you in August
output: August
explanation: Here August is a month and not a person. Hence, it should not be tagged.; input: Let me tell you a story on New York
output: New York
explanation: Since New York is a city in the United States, its relevance with a person name is not correct.
Task: You are given a passage. Using the information present in the passage, you need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & Music', 8 - 'Family & Relationships', 9 - 'Politics & Government'.
Categories: Text Categorization
Domains: Miscellaneous

Positive examples:
input: 	Optical mice use an LED and a camera to rapidly
capture images of the surface beneath the mouse.
The infomation from the camera is analyzed by a
DSP (Digital Signal Processor) and used to detect
imperfections in the underlying surface and
determine motion. Some materials, such as glass,
mirrors or other very shiny, uniform surfaces
interfere with the ability of the DSP to
accurately analyze the surface beneath the mouse.
\nSince glass is transparent and very uniform, the
mouse is unable to pick up enough imperfections in
the underlying surface to determine motion.
Mirrored surfaces are also a problem, since they
constantly reflect back the same image, causing
the DSP not to recognize motion properly. When the
system is unable to see surface changes associated
with movement, the mouse will not work properly.
output: 4
explanation: The passage talks about optical mice or mouse throughout which is a part of computer system. Thus, it is correctly classified to "Computers & Internet" ; input: Trans fats occur in manufactured foods during the
process of partial hydrogenation, when hydrogen
gas is bubbled through vegetable oil to increase
shelf life and stabilize the original
polyunsatured oil. The resulting fat is similar to
saturated fat, which raises "bad" LDL cholesterol
and can lead to clogged arteries and heart
disease. \nUntil very recently, food labels were
not required to list trans fats, and this health
risk remained hidden to consumers. In early July,
FDA regulations changed, and food labels will soon
begin identifying trans fat content in processed
foods.
output: 2
explanation: Throughout the passage, food, clogged arteries and heart
disease are discussed in relation to Trans fats, which all are closely related to the topic "Health". Thus, passage is correctly classified.

Negative examples:
input: Air
Fleet\n  \n670 aircraft, including:
\n47 Airbus A300-600s  17 Boeing DC10-30s
\n62 Airbus A310-200/300s  36 Boeing
MD10-10s  \n2 ATR 72s  5 Boeing MD10-30s
\n29 ATR 42s  57 Boeing MD11s  \n18
Boeing 727-100s  10 Cessna 208As  \n94
Boeing 727-200s  246 Cessna 208Bs  \n30
Boeing DC10-10s  17 Fokker F-27s
output: 2
explanation: The passage talks about the count of different planes owned by fedex which has no close relationship with the topic "Health". Thus, the classification is incorrect.; input: There are several websites that you can find rare
or out of print books.  A couple would be
alibris.com or abebooks.com.  These sites list
books by booksellers all over the country and some
internationally.
output: 5
explanation: The passage lists sites where out of print books can be found which has no relation with the topic "Sports". Thus, the classification is incorrect.