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: Did the audience care ? Absolutely not ! The whole idea is to be FUNNY and the audience does n't care if it 's an old joke or one manufactured to be new ( using an old joke premise ) as long as they are entertained . Nothing new is under the sun , but I am the first to admit that we must keep joke files ( especially if you are working for kids ) and to rewrite and revamp jokes and material . How you change a joke makes it more your own than actually inventing the joke premise ( which was probably invented in vaudeville days or before ) .
Output: 



Output:
What will the narrator do next time on stage ?
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 Boscovs department store chain , based in Reading , filed for bankruptcy today in Wilmington , Delaware . The company will close ten stores and get $ 250 million in rescue loans from Bank of America and others to remain in business . Boscovs rapidly expanded into malls when consumers were gravitating away from them and began opening stores farther and farther away from its Pennsylvania base . As the economy went south and consumers began pulling back on shopping the stores sank into debt .
Output: 



Output:
Why did Bank of America give a failing company a large loan ?
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: As a coworker likes to say , " Did I take a foolish pill ? " Today I spent hours searching the house for my keys , only to find them in my purse in a pocket that I am POSITIVE I already checked ! * shakes head at self * This and the last post really make me wonder .
Output: 



Output:
What is probably true about the narrator ?
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 face to face interaction that folks were talking about in the comments is so essential for me - I thrive on it . I ' ve really come to look forward to these meetings every week . I asked Roni if my year committment meant that I had to stop doing this after a year and she said absolutely not , and that made me feel a lot better .
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: it lasted 3 days ( i did nt even have to wear anything ) and was brownish ? ? my usual periods are heavy and last 7 days . the last coming on 3 weeks i have had nausea ( which gets worse by the day ) my nipples have hurt on the odd occasion but not all the time and cramps everyday like i have just got a period and i keep running to the toilet thinking i have got them but there is nuting there but discharging alot .
Output: 



Output:
What may the narrator do after getting these blood streaks ?
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 cancelled on around 4 times for the same jogging appointment with someone . Although this time round i told that someone that he / she need nt jog with me since he / she is tired and waking up early will only add to his / her fustration , i kinda felt irritated and sad . Afterall who likes being cancelled upon 4 times ? I really thought we 'd finally run this sunday morning .. Guess not .
Output: 



Output:
Why is the narrator growing suspicious of their friend ?
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: That on top of the Aspirin and Lorazepam is making me feel okay about this . Also , a lot of talk about having kids and pregnancy and all those sorts of things lately . Most of them ... not so bad , by my goodness does my coworker now have me morbidly afraid of the idea of having a C - Section like ... ever . She had a not - as - bad - as but almost close to " Awake " experience . Well , except she was able to SAY that she was feeling things ... but omfg .
Output: 



Output:
What may be true about me ?
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: As we reached the top , Wes said , " Now we just need to climb the haystack . " Yes , this massive jut of rock is the haystack . I told him " NO , way . " Wes : " Oh , do n't worry we do n't climb here . We climb around the back . " Let me just say , that the back of the haystack is not much better . Anyway we climbed up just fine but that is not the part that I hate .
Output: 



Output:
How did I feel about what we 're about to do ?
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: Long story short : my mom spent her summers growing up in a cabin at Chimney Lake in the Chicotin . She really wanted her parents to leave her this cabin , but stuff went down and they sold it . Now she has property up there , but there 's nothing on it and her brother the doctor got the waterside lot . But while we were camping up there a few weeks ago , the current owner of the cabin mom wanted mentioned that he was thinking of moving it somewhere and building a new one .
Output: 



Output:
Will my mom decide to try and purchase the cabin from the owner ?
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: Well , I went back and compared the exported photo side by side with what was being displayed on the screen visually , they did n't match . Apparently both Lightroom and Photoshop ( tested in both just now ) use a different method for quickly processing and displaying colour space / profile information on screen , then they do when actually fully processing the images . Displayed here is a comparison of what I ' m talking about when it comes to what is visually seen in Lightroom vs what is outputted . Notice the difference between " blue " and " cyan " in the two , as well as the saturation levels being different .
Output: 



Output:
What am I try to do in Photoshop and Lightroom?
What can we say about my knowledge of photo editing programs .?