Lots-of-LoRAs/task290_tellmewhy_question_answerability huggingface dataset:
Definition: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.

Positive Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He formulate a machine?
Output: Answerable

Positive Example 2 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: Not Answerable

Negative Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: I can't decide.

Now complete the following example -
Input: Jim has science fair judging tomorrow. He is extremely nervous. He spent three months on his project. He is convinced he will place but is still nervous. Jim won first place and will advance to regionals.
Why did He spend three months?
Output: 


Output: Answerable
Definition: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.

Positive Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He formulate a machine?
Output: Answerable

Positive Example 2 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: Not Answerable

Negative Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: I can't decide.

Now complete the following example -
Input: I noticed my fridge was getting low on food. I made a grocery list. I went to the store. I found all the items on my list and paid for them. I went home, restocked my fridge, and was happy that I have more food.
Why did I notice my fridge was getting low on food?
Output: 


Output: Answerable
Definition: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.

Positive Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He formulate a machine?
Output: Answerable

Positive Example 2 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: Not Answerable

Negative Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: I can't decide.

Now complete the following example -
Input: Sean was craving some hot cocoa. He made a mug of it and took a sip. It was too watery. He decided to add a bit of milk. Luckily that was enough to make it creamier.
Why did He make a mug of it?
Output: 


Output: Answerable
Definition: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.

Positive Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He formulate a machine?
Output: Answerable

Positive Example 2 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: Not Answerable

Negative Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: I can't decide.

Now complete the following example -
Input: Tom liked to sing. Tom was not a good singer. No one liked to be around him because of his singing. Tom married a woman who was deaf and could not hear his singing. His wife and all of her friends found no problem with Tom
Why did Tom marry a woman who was deaf and could not hear his singing?
Output: 


Output: Not Answerable
Definition: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.

Positive Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He formulate a machine?
Output: Answerable

Positive Example 2 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: Not Answerable

Negative Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: I can't decide.

Now complete the following example -
Input: Carol went to the concert with her friend Amethyst. They snuck backstage together to get a look at Jack White. Jack White screamed and flung his guitar against the wall. It shattered into a million pieces. Amethyst picked up a piece and together the two girls ran away.
Why did It shatter into a million pieces?
Output: 


Output: Answerable
Definition: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.

Positive Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He formulate a machine?
Output: Answerable

Positive Example 2 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: Not Answerable

Negative Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: I can't decide.

Now complete the following example -
Input: Mikey was eating out with his family. His mom complained that her meat was undercooked. Mikey tried to stop her, but she began berating the waiter. Other people noticed and scolded her. It became such a mess Mikey decided to leave.
Why did Mikey try to stop her?
Output: 


Output: Answerable
Definition: In this task you are given a story and a question regarding that story. You must judge whether the question is answerable based on the info given to you. Label the instances as "Answerable" or "Not Answerable" based on your judgment. the story and the question are separated by a new line character.

Positive Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He formulate a machine?
Output: Answerable

Positive Example 2 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: Not Answerable

Negative Example 1 -
Input: Bob was a computer scientist. He enjoyed natural language processing. He decided to revolutionize the industry! He formulated a machine learning algorithm to process words. He won the nobel prize for his work!
Why did He enjoy natural language processing?
Output: I can't decide.

Now complete the following example -
Input: Oliver had a pet fish. He noticed that one fish seemed almost pregnant. One day, little baby fish appeared in the tank. His fish had had babies! Oliver named all of the fish and loved them all.
Why did He notice that one fish seemed almost pregnant?
Output: 


Output: Not Answerable