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: She sent me a really sweet card a few months ago . I did n't know her as well as some of my other friends , but I knew her well enough to know that she was a kind and very gentle person . Andrew , Erin , Stacy , everyone , I ' m really sorry you lost Tamara .
Output: 



Output:
How good of a friend was the narrator to Tamara ?
What has happened to Tamara ?
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 best friend and I are sitting at the bar at TGI Fridays in the Memphis Doubletree Hotel . I order a Mudslide Cosmo and the bartender asks for my ID . " Look at this mess , " I say , as the bartender is making my drink .
Output: 



Output:
What may have caused the bartender to ask for your ID ?
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: My running partner bought herself a pair of inline skates and a helmet Saturday night . I think I 'll try hers before I make that commitment . I ' m not sure if I could even do that . She says it 's not as easy as it looks .
Output: 



Output:
What will you do after she bought the skates ?
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: All these folks come spilling out of the bar as our cab pulls up , poor battered bike on the ground , and we hop into the cab and drive away . Very memorable . THEN the cab takes us to some part of town we ' ve never seen and two 20 something year old guys run up to the car at a red light , bang on the glass , " can we split your cab ? " I mean sure . Hilarity ensued . I made them cover the cab .
Output: 



Output:
Why might the men have been banging on random cabs ' windows ?
Why should the women have declined to share their cab ?
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: Hurt just as much as a normal needle , thank you very much . Stupid lady said that the normal shots hurt more . The doctor came in and started putting a whole bunch of different things in the IV , and the last thing I remember was they told me I would feel relaxed , and I said my arm was tingly . I do n't remember leaving the surgery room , just the room they had me lie down in after . I said I felt kind of nauseous , and the wonderful nurse lady said " that 's rare .
Output: 



Output:
What might have happened before entering the operating room ?
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: what happened today ... yeah , i had to put it down somewhere to remember this . basically , lisa reversed her car and bumped into the car behind us . we drove away because i checked and there was nt anything there . i thought " maybe we hit something else . ".
Output: 



Output:
Why did you just drive off instead of waiting for the owner of the vehicle ?
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: At a pinch I look , if anything , like I might have a pen I could possibly lend someone in a post office or something , but opening beer bottles with my teeth ? I ' m not that badass . I shook my head slowly " No , sorry man . No can do " .
Output: 



Output:
What may have happened right before this discussion ?
Why did they refuse to open the beer bottles ?
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 was amusing because I doubt I will use either , but I ' m sure I can find someone to give them to . My main mistake in this race was wearing XC spikes ( obviously with the spikes not screwed in ) . I had tried them out a few times in training , and thought it would be worth the experiment . They are very hard , and substantially more minimal and lighter than the flats I normally train in , and as a result they did a number on my calf muscles over the final few miles .
Output: 



Output:
How may I be feeling right now ?
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: This was just beginning to happen , but I had no awareness of it as yet , and had chopped my hair off in the seventh grade * after * a very - Brady - perm ( I KNOW ) left it soul - glo - quality - gerry - curled . So was growing out a perm and it was still in a fairly awkward period of re - growth . I did n't really have an arsenal of managing the largess of my locks , yet , because of this new precedent of curliness taking place , and , in fact , developed it only as a result of the following event . Amy began picking at my hair , and I continued to quietly complain , saying no , do n't , stop it , but quietly .
Output: 



Output:
Why is the narrator 's hair getting so long ?
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: Finally I resorted to DEET.Side note : Yes , I realize that spraying DEET on my skin is worse than eating non - organic produce , but seriously ... mosquitoes . That evening , we roasted hot dogs and were treated to a crystal clear , moonless sky . The sheer number of stars peppering the sky was dizzying . We could see constellations , the Milky Way , even satellites crossing above . We woke up bright and early on Saturday and , after breakfast , headed on a Chad Dawson Hike . Side note : I may have explained this before , but Chad does everything at Mach 10 .
Output: 



Output:
What may happen after spraying deet onto my skin ?