Lots-of-LoRAs/task023_cosmosqa_question_generation huggingface dataset:
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: We were out the door according to schedule and even the Sunday drivers could n't keep us from getting to the cinema on time . We bought our tickets , purchased some snacks , and went in to get seats . When we opened the door to Theatre 2 , the unmistakable smell of urine slapped us in the face .
Output: 



Output:
How can urine " slap " ?
What is the reason the Sunday drivers might interfere with getting to the cinema on time ?
What may happen before we opened the theatre door ?
What might the writer do after opening the theater door ?
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: The TOFUtsie yarn can be a bit splitty but it feels great knit up . It 's going to be a perfect pair of socks for our warmer weather . As a treat , DH took me by a Dallas yarn store , The Shabby Sheep , for a quick visit . It was a very friendly shop and after chatting with the owner for a few moments , we realized she was from my hometown ! Her brother actually went to the same high school as me !.
Output: 



Output:
What state may I be currently living in ?
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: No connection between title and post . Again . After about a week of undersleeping ( close to 2 hours per day ) I was worried about the Landmark Quiz which happens annually on Independence Day ( today ) in Chennai . On Thursday evening , I had a meeting setup for very late , so it was hard juggling things around .
Output: 



Output:
Where might I be from ?
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: I do n't know . I waited patiently trying to ignore Time although the diminishing sun light told me it was getting latter the more I attempted to ignore it . I closed my eyes and felt the soft wind , the buzzing of flying insects , and the ethereal voice of Jeff flow tenderly through my electrified body . I was electric for anything : meeting a beautiful stranger or bemusing myself with a fool 's errand ( again .
Output: 



Output:
What may happen while waiting patiently ?
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: It 's the first time I 'd been there in all the years I ' ve lived here . I 'd been there once before to drop my son off for a hike with his boyscout troop . There are several trails throughout the preserve . Some are miles long .
Output: 



Output:
What was true before this story ?
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: So today I tripped out to BU Law for my meeting with the Professor . I was running late and was worried that I would n't make it to the law school in time because I had yet to visit , and it 's pretty easy to get lost on the campus of an urban university . The maps I looked at had n't been very helpful .
Output: 



Output:
What might this person be new to ?
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: She has not always had an easy path but I am so proud of her accomplishments . A week ago Sissy had her 22nd birthday but it was the b - day from hell , poor kid . Boyfriend ( BF ) had taken her car out to run errands and ended up getting pulled over and ticketed for expired registration . It had only expired 4 days earlier ( Hubby 's b - day ) . She had also just moved to a new place and was planning a house - warming / b - day bbq but it seems one of the guests ( they have their suspicions ) lifted her laptop computer .
Output: 



Output:
What may happen after they got a ticket ?
What may have happened to their laptop ?
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: Everything went , aside from one little box that we took to Good Will . Flo and Joe had a small lemonade stand , which of course , hardly turned a profit , considering we used organic lemonade and charged $ 50 per cup . Nonetheless , the kids made a few bucks to split and had a good time .
Output: 



Output:
What may happen after having a lemonade stand ?
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: I signed up for DIRECTV about 2 months ago and was installed at a previous location . I got the HD DVR and 1 additional standard receiver . We moved into an apt and the tech come out to install and said due to the line of sight and we ca n't get landlord consent to drill that he could n't perform the install . He instructed that he would have to have 2 lines coming in for the DVR and we would need consent .
Output: 



Output:
What will we have to do next to get television service ?
Definition: 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.

Positive Example 1 -
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?

Positive Example 2 -
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?

Negative Example 1 -
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?

Negative Example 2 -
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?

Now complete the following example -
Input: Context: But , as the ride wound down , he started shouting how much fun it was . He did go on other " big " rides , but these were much tamer . I got to try out the new Mega Drop , which takes you up 44 metres ( 145 feet ) and then drops you before you decelerate on a cushion of hydraulic air . It takes less than 2 seconds to come down and is pretty exhilarating ; it took me close to 10 minutes to stop shaking .
Output: 



Output:
Where were we visiting ?