ceselder/lots-of-loras-task-definitions huggingface dataset:
Task: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
Categories: Question Generation
Domains: Personal Narratives
Reasoning: Commonsense Reasoning

Positive examples:
input: Context: I was told, in person over the phone, that my shoes were on their way. They have my money. I have no shoes.
output: What may happen before I called them?
explanation: The question can not be answered directly from context and requires commonsense.; input: Context: I was told, in person over the phone, that my shoes were on their way. They have my money. I have no shoes.
output: What may happen after the call?
explanation: The question can not be answered directly from context and requires commonsense.; input: Context: you see , at my age relationship is kind of important and i thought i got the one after all these years . I noticed that once again i was wrong . i was good simply because i was good , i was caring , helping , supportive , bla bla blaaa .
output: What may happen to me?
explanation: The question can not be answered directly from context and requires commonsense.

Negative examples:
input: Context: I was told , in person over the phone , that my shoes were on their way. They have my money. I have no shoes.
output: What is on the way to my home?
explanation: It can be directly answered with a span of the context and does not require any commonsense reasoning.; input: Context: GPS technology dates back to the time when first ever satellite was launched in the sky in 1979. The era of global positioning started then.
output: What was launched in the sky in 1979?
explanation: It can be directly answered with a span of the context and does not require any commonsense reasoning.
Task: In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Categories: Translation
Domains: Government and Politics

Positive examples:
input: Está, sin duda, dentro de la línea de las posiciones que nuestro Parlamento siempre ha adoptado.
output: Indeed, it is quite in keeping with the positions this House has always adopted.
explanation: This English sentence is properly translated into Spanish because the English sentence also talks about how the house was always adopted.; input: Los servicios competentes no las han incluido en el orden del día por considerar que ya habían sido contestadas en una sesión anterior.
output: The competent services have not included them in the agenda on the grounds that they had been answered in a previous part-session.
explanation: This English sentence is properly translated into Spanish because the English sentence also talks about how the component service isn't included in the agenda because it was answered in previous session.; input: Desearía que el Sr. Barón Crespo, autor de la petición, interviniera para justificarla, si a él le parece adecuado, por supuesto.
output: I would like Mr Barón Crespo, who made the request, to speak to propose it. That is, if he so wishes, of course.
explanation: This English sentence is properly translated into Spanish because the English sentence also talks about the person requesting Mr Baront to speak because he proposes it.

Negative examples:
input: Le confieso que, de momento, las cosas me parecen un tanto confusas.
output: I admit that, at past, the matter seems to be somewhat confession.
explanation: The conversion of Spanish to English is wrong because confusas means confused not confession.; input: ¿Por qué tienen que beneficiarse los productores de armas de la UE a expensas de gente inocente?
output: So why should EU arms producers profit at the expense of insane people?
explanation: The conversion of Spanish to English is wrong because output translated inocente as insane. However, that should be innocent.; input: Me gustaría que me asesorara sobre el Artículo 143 concerniente a la inadmisibilidad.
output: I would like your advice about Rule 145 concerning inadmissibility.
explanation: The conversion of Spanish to English is wrong because it changes the number 143 to 145.
Task: In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Categories: Text Matching
Domains: Captions -> Image Captions

Positive examples:
input: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે. 
 English: A herd of sheep standing together grazing in a pasture.
output: Yes
explanation: These sentences also talk about a standing herd of sheep, thus we can say that it is a correct translation from Gujarati to English.; input: Gujarati: ટાંકીના ઢાંકણમાં ગુમ થયેલી શૌચાલયથી બાથરૂમ ફરી બનાવવામાં આવી રહ્યું છે. 
 English: A bathroom being remodeled with a toilet missing the tank lid.
output: Yes
explanation: These sentences convey the same meaning, which is a missing tank lid on the toilet, hence it is a correct translation.; input: Gujarati: એક માણસ ભીની ફૂટપાથ નીચે મોટરસાઇકલ ચલાવી રહ્યો છે. 
 English: A man is riding a car down a wet sidewalk.
output: No
explanation: These sentences convey the same meaning where the man is riding a bike on a wet sidewalk, thus it is a correct translation from Gujarati to English.

Negative examples:
input: Gujarati: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે. 
 English: A herd of sheep standing together grazing in a pasture.
output: Yes, that is right.
explanation: The answer can only be Yes or No.; input: Gujarati: ટાંકીના ઢાંકણમાં ગુમ થયેલી શૌચાલયથી બાથરૂમ ફરી બનાવવામાં આવી રહ્યું છે. 
 English: A bathroom being remodeled with a toilet missing the tank lid.
output: Correct
explanation: The answer can only be Yes or No.; input: Gujarati: એક માણસ ભીની ફૂટપાથ નીચે મોટરસાઇકલ ચલાવી રહ્યો છે. 
 English: A man is riding a motorcycle down a wet sidewalk.
output: No, correct answer - Furthermore, Amendment No 43 does not fall within the directive' s area of applicability.
explanation: The answer can only be Yes or No.; input: Gujarati: ટાંકીના ઢાંકણમાં ગુમ થયેલી શૌચાલયથી બાથરૂમ ફરી બનાવવામાં આવી રહ્યું છે. 
 English: A bathroom being remodeled with a toilet missing the tank lid.
output: No
explanation: Here, these sentences are conveying same meaning, which is missing tank lid on toilet, hence it is a right conversion but the generated label is 'no' which is wrong.
Task: You are given a dialog between 2 or more individuals. You need to generate the number of the speaker (e.g. 1 for Speaker 1) who had the most lines in the dialog. If there is a tie, output the answer '0'.
Categories: Speaker Identification
Domains: Dialogue
Reasoning: Reasoning on Social Interactions

Positive examples:
input: Speaker 1: What do you think we should do for our 10th wedding anniversary? 
Speaker 2: Hm, how about we take a vacation? Somewhere sandy and warm. 
Speaker 1: Well, if we're going to go out of the country, you need to be sure to renew your passport. It expired over a year ago! 
Speaker 2: How about we get something expensive instead of travelling.  We could get a new car. 
Speaker 1:  Is this your way of telling me that you want me to buy you a car?
output: 1
explanation: In this dialog, there are 5 lines of speech.  Three of them belong to Speaker 1 and two of them belong to Speaker 2.  Therefore, Speaker 1 has the most lines in the dialog.; input: Speaker 1: Dad, I really don't want to go to law school. 
Speaker 2: Well, what about medical school? A pharmacy program? 
Speaker 1: I don't know, I don't want to make any big decisions right now. 
Speaker 2:  You need to make a decision about your future before it's too late. You'll be in college next year, so you better have decided by then. 
Speaker 1:  None of those options sound appealing to me, though.  Maybe I want to do something else with my life. 
Speaker 2:  As your father, I have some say in your future.
output: 0
explanation: Both Speaker 1 and Speaker 2 have the same amount of lines.; input: Speaker 1: What should I wear to work today? 
Speaker 2: How about a black dress? 
Speaker 2: Better yet, a purple pantsuit.
output: 2
explanation: Speaker 2 had 2 lines of dialog while Speaker 1 had only 1.

Negative examples:
input: Speaker 1: Donna, do you want to go to the mall with me this weekend? 
Speaker 2: Sure, I'd love to.  I need to pick up some clothes and some school supplies. 
Speaker 1:  Great, I need to return some stuff I bought last weekend.  We could get lunch at the food court and then make plans for the evening there. 
Speaker 2: Sounds great!
output: Speaker 1
explanation: While Speaker 1 does have the maximum number of lines in this dialog, so does Speaker 2, so the appropriate answer is '0'.; input: Speaker 1:  Do you know when dad is getting back from his golf trip? 
Speaker 2: Not sure, I think he's coming back Sunday. 
Speaker 1:  Well, I know that mom is going to be gone until Tuesday, so that means we could throw a party this weekend!
output: 2
explanation: In this dialog, Speaker 1 has more lines than Speaker 2.
Task: Languages typically provide more than one grammatical construction to express certain types of messages. Your task is to generate a senetence with the same meaning as given sentence, but with different grammatical construction.
Categories: Paraphrasing
Domains: Commonsense

Positive examples:
input: Bob took the woman from work a cake
output: Bob took a cake to the woman from work
explanation: Input and output sentences have same meaning but different grammatical construction.; input: Alice hurled a woman wearing a hat a necklace
output: Alice hurled a necklace to a woman wearing a hat
explanation: Input and output sentences have same meaning but different grammatical construction.; input: Maria squealed a man her hello
output: Maria squealed her hello to a man
explanation: Input and output sentences have same meaning but different grammatical construction.

Negative examples:
input: Bob took the woman from work a cake
output: Bob took from a cake work to the woman
explanation: Output sentence is not grammatically accurate.; input: Maria remitted a man a percentage
output: Maria remitted a percentage to a woman
explanation: Output sentence changed man to woman which changes meaning of the input sentence.; input: Mary tweeted a man an article
output: Mary send an article to a man
explanation: Output sentence changed tweeted with send which does not have same meaning as input sentence.
Task: In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Categories: Question Generation
Domains: Commonsense -> Concepts and Relations -> Social Commonsense
Reasoning: Commonsense Reasoning -> Social Situations

Positive examples:
input: Context: Tracy didn't go home that evening and resisted Riley's attacks. 
 Answer: Find somewhere to go
output: What does Tracy need to do before this?
explanation: Tracy has to resist Riley's attack and the answer is she has to find somewhere to go so the question is what does she do before this?; input: Context: Sydney walked past a homeless woman asking for change but did not have any money they could give to her. Sydney felt bad afterwards. 
 Answer: sympathetic
output: How would you describe Sydney?
explanation: Through context, we show that Sydney Sydney walk past homeless women and answer is 'Sympathetic' which is an emotion. So the question is what's her nature so, how would you describe her?; input: Context: Taylor gave help to a friend who was having trouble keeping up with their bills. 
 Question: What will their friend want to do next? 
 Answer: thank Taylor
output:  What will their friend want to do next?
explanation: Taylor helped her friend who having troubling paying bills and the answer is regarding thanking Taylor. So the question is what will their friend do next?

Negative examples:
input: Context: Tracy's kids wanted ice cream so Aubrey fed the kids ice cream.  
 Answer: get ice cream
output: ice cream
explanation: The output supposed to be a Question.; input: Context: Kai improved Jan's picture and she loved how it came out. 
 Answer: frame the picture
output: What will Jan want to do?
explanation: Jan frame the picture which he's supposed to do after Kai improved it. So the should what will jan want to do 'next'.; input: Context: Kendall was watching a friend's dog. Kendall didn't know anything about the dog. 
 Answer: that they should ask their friend what to do
output: that they should ask their friend what to do
explanation: It'supposed to return question not an answer.
Task: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
Categories: Translation
Domains: TED Talks; Captions -> Video Captions

Positive examples:
input: אבל התחלנו לממש את הרעיון של ללמד כל ילד בנפרד.
output: Pero comenzamos con la idea de un niño por vez.
explanation: The Hebrew sentence is correctly translated into Spanish, because the meaning is preserved.; input: הם לא ענו.
output: Y ellos no contestaron nada.
explanation: The Hebrew sentence is correctly translated into Spanish, because the meaning is preserved.; input: ואם אין לכם סבתא, כתבו למר דומינגוס, זה ימצא חן בעיניו.
output: Y si no tienen abuela, escriban para el Sr. Domingos, que le va a gustar.
explanation: The Hebrew sentence is correctly translated into Spanish, because the meaning is preserved.

Negative examples:
input: תחשוב על תנועת הכיבוש שהרעידה את העולם כולו ב-2009.
output: Piensen en el movimiento Occupy que sacudió a todo el mundo en 2011.
explanation: The Hebrew sentence is not correctly translated into Spanish, because `2009` is translated as `2011`.; input: אלא גם את נשמתנו התרבותית, ולכן אנלוגיית המותג היא דרך מעניינת מאד לראות את זה.
output: Lo que quieren es nuestro espíritu cultural y por eso la analogía de la marca es interesante.
explanation: The Hebrew sentence is not correctly translated into Spanish, because the meaning is different.; input: או חשבו על תנועת אוקיופיי שהרעידה את העולם ב 2011.
output: Poco sabía yo, acostado acurrucado en mi cuna en 1948, que había nacido en el lugar correcto y en el tiempo correcto, que estaba en un país en el que podría participar en la revolución tecnológica.
explanation: The Hebrew sentence is not correctly translated into Spanish, because the meaning is different.
Task: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
Categories: Translation
Domains: Web

Positive examples:
input: English sentence: How is this possible
output: Olee kwere omume?
explanation: The Igbo translation means the same as the original sentence in the English language.; input: English sentence: good morning everyone
output: ututu oma onye obula
explanation: The output is the exact Igbo translation of the input English text.; input: English sentence: I went to see the launch of the Apollo 5
output: Agara m ịhụ mwepụta nke Apollo 5
explanation: The Igbo translation exactly means the same as the input English sentence.; input: English sentence: Win VIP Tickets England T20 international vs. New Zealand at Old Trafford
output: Imeri Ukwuu Tiketi England T20 mba vs. New Zealand na Old Trafford
explanation: The output is the exact Igbo translation of the input English text.

Negative examples:
input: English sentence: Yesterday, it was raining heavily
output: Ụnyaahụ bụ mmiri ozuzo
explanation: The translation missed the adjectives present in the input sentence; input: English sentence: Hope is not a good thing
output: Olileanya bụ ihe dị mma
explanation: The Igbo translation actually implies the exact opposite meaning of the input English sentence; input: English sentence: I'm eating a sandwich for dinner
output: Eri m nri sanwichi maka nri abalị
explanation: Even though the meaning is almost the same, the Igbo translation changes the tense from present to past