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: Yesterday was n't bad . Got a lot of bottled up crap out of my system and I ' m better for it . A couple days after our talk Meghan had asked me who I told about us splitting .
Output: 



Output:
What may I of done before seeing Meghan ?
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: Jeez . Long story short , I ' m still keeping a couple of classes at Job # 2 , and I ' m not really receiving any kind of promotion at Job # 1 . He actually expected me to be doing all of the admin stuff for free .
Output: 



Output:
Why did someone expect the writer to do admin work for free ?
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: After a week of eating just about anything we could scavenge , we ending up doing pretty well for ourselves in DC . Our first nite there , my mother - in - law cooked soba noodles with tofu and moong sprouts . Nite two : dinner out at Yuan Fu .
Output: 



Output:
What 's a possible reason the writer 's mother - in - law cooked soba noodles with tofu and moong sprouts ?
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 made it ; I do n't even know how . Mom was shocked . Yeah , our bus driver actually got lost at one point and had to stop for directions , which did n't inspire much confidence .
Output: 



Output:
what may happened if the bus driver had n't been lost ?
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 ' m impressed we managed to stick to the path . It was all worth it though - we got to the top of the mountain at about 6 am and watched the sunrise , which was really spectacular . It was also absolutely flipping freezing and I had n't brought enough layers . That was n't pleasant .
Output: 



Output:
How did the author feel after reaching the top of the mountain?
What is the narrator describing overall ?
Why did n't I bring enough layers with me to climb the mountain ?
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: He reached out and swiped a thumb across Brian 's cheek . Brian found himself holding his breath in anticipation . " The way you were going on , I did n't ... " AJ shook his head as if to clear his thoughts . " I ... " Brian begins , but he ca n't find the words to say . " But I ... " " This is n't a joke , is it ? It 's not everyday that some church - going choirboy comes up and hits on me and ... " " It 's not a joke . " Brian frowned .
Output: 



Output:
What is not a joke ?
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: Got into Toronto last night . We went out for dinner and ended up hopping between little ethnic enclaves . First it was " little China " then it was " little Portugal " and onward to " little Italy " .
Output: 



Output:
Why did the writer go to ethnic enclaves ?
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 went to visit Oxford last week to visit for the first time . Les Newsom ( the campus minister at Ole Miss ) took Sam ( the other new intern at Ole Miss ) and I on a " Oxford Orientation " . We got to see all around the campus , the town of Oxford , etc . It 's a really cute town - I ' ve heard all about how great it is , and now I can see why everyone loves it .
Output: 



Output:
What may be the reason to visit Oxford ?
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: Yesterday I posted my agenda . I did n't hit one of my goals . When I got home and the kid took a nap ... so did I. Well , I read Harry Potter and rested on the couch .
Output: 



Output:
Why did the narrator post their agenda ?
Why did the narrator take a nap ?
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 got the cats in their cages , and brought them into the rental office of the complex where we needed to sign the lease and get our keys ( they were a huge hit - everyone cooed at them ) . We drove over to our apartment from there , and one of my major worries was assuaged immediately . See , we had rented our apartment based on a model , without ever having seen the actual living space .
Output: 



Output:
What may be the reason for them bringing their cats into the office ?
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: Mostly bands of large rain showers over the course of days . I really hope things dry off soon or we 're going to relive the Floods of 1993 ! We 're already behind on the garden because of it , and now my Dad is talking about not planting one at all ... Ca n't get many rides in either if the weather is n't nice !.
Output: 



Output:
What will happen if the rain stops ?