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: Tom worked from home Tom decided to take a break from work. Tom took a walk around the neighborhood. He saw children playing jump rope. Tom enjoyed the walk and was happy to see kids having fun.
Why did Tom work from home?
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: Sinbad made pasta for dinner. He wanted to make garlic bread to go with it. He was out of garlic. He drove to the store to get some. Sinbad came back home and made garlic bread.
Why did Sinbad make pasta?
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: My boss pulled me aside at work. I thought he was going to tell me Happy Birthday. Instead, he told me I wasn't needed today. I sulked home, not sure whether I was getting fired or not. When I arrived home, I walked into a surprise birthday party!
Why did I sulk home?
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: Rachel saw the wind blowing the trees today. Rachel decided that today would be a great day to fly a kite. She dug out her kite from her summer storage boxes. Rachel took her kite to the park. Rachel flew her kite all afternoon until it got too dark.
Why did Rachel fly her kite?
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 lived in Norway. It was always cold. I decided to move to Texas. I loved the warmth of Texas. I decided to retire in Texas.
Why did I decide to retire in Texas?
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: Timmy was grounded in his room. He felt like a prisoner. He began singing prison songs. He sang for a long time. Before he knew it his time was up and he was happy.
Why did He feel like a prisoner?
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: Amy lost an assignment when her laptop dies. She begged her professor for an extension to finish. The professor granted her an 8 hour extension. Amy hated to skip her other classes but she had to finish on time. Amy worked till she was exhausted, but she was able to finish on time.
Why did Amy hate to skip her other classes?
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: Sally was very excited for her blind date. She dressed up very carefully for her date and arrived early. She waited for over an hour, but her date never showed up. Sally decided to stay at the restaurant and enjoy herself. She met a lot of cool people and was glad her date never showed up.
Why did She meet a lot of cool people?
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: Alex loved his girlfriend Amy. One day Alex saw a dress at a store he had went to. The dress was very expensive. He worked hard for four weeks to get it for her. She fell in love with him even more after receiving his gift.
Why did He work hard?
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: Lance said he would clean the living room. He got too tired to vacuum. Eventually the carpet kept getting dirtier. It was obvious he hadn't cleaned it. His parents wound up grounding Lance for a weekend.
Why was It obvious?
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 worked from home Tom decided to take a break from work. Tom took a walk around the neighborhood. He saw children playing jump rope. Tom enjoyed the walk and was happy to see kids having fun.
Why did Tom enjoy the walk?
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: Momma loves her kids. Momma wanted her kids to do well. She wanted them to get ahead. Momma enrolled her children in French classes. Her children are now going to France.
Why did Momma want her kids to do well?
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: Jason wants to see a good movie. He reads the movie listings to see what is available. He chooses a superhero movie. Jason walks to the movie theater. Jason enjoys the movie that he picked out to see.
Why did Jason walk to the movie theater?
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: Phil has many dogs. He taught them many tricks. One day, the dogs stopped listening to Phil. He went to the store to buy different treats. The dogs started listening to Phil again.
Why did He teach them?
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: Derek wanted to cook something good. He kept looking online. He spent an hour, searching for things he can make. He ended up giving up. He made cereal.
Why did He keep looking online?
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: Martha was very excited to get her very first cell phone today. Martha drove over to the Verizon store and browsed the iphones. A salesperson was happy to help Martha pick the perfect phone. Martha ended up picking a pink iphone 6s that was just devine. As Martha drove home, she was bursting with happiness.
Why did Martha drive over?
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: Dave bought an old chair at an antique store. The chair was beat up but Dave took it home anyway. He sat down in the chair at home and heard a crack. Seconds later the chair broke and Dave fell. Dave got out his wood glue and fixed the broken chair.
Why did Dave buy an old chair?
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: Tony woke up and walked into his kitchen to make coffee. He was shocked to discover the floor was covered in water. He looked under the sink to find a leaky pipe was the cause. He grabbed his tools and set to work fixing the pipe. After cleaning the floor, Tony was able to get back to his morning.
Why did Tony wake up?
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: Bob was feeling sick. He felt cold. His mother made him chicken noodle soup. Bob felt better immediately after eating the soup. Bob thanked his mother afterwards.
Why did He feel cold?
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: Kim's friend was talking about her childhood in the 80's. She asked Kim if she remembered Garbage Pail Kids. Kim told her she only had one pack and it was stolen at school. Her friend told her she still had some of her cards. The next day at lunch at work they laughed at the cards she brought.
Why did Kim tell 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: Lisa was at the grocery store. She was heavily pregnant and her breath was short. While waiting in line, she began feeling light headed. Suddenly, she fainted in the store. They took her to the hospital and luckily she was okay.
Why did They take 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: Harry went into the forest to gather firewood. He found a log that was dry and big enough. Harry tied some rope to the log. He dragged the log out of the forest and to his car. Harry loaded the log in his car and drove off.
Why did Harry load the log?
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: Megan had a crush on a boy. She was very nervous around him. She asked him to the dance. He said yes. She was very excited.
Why had Megan a crush on a boy?
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: Donald was man with a mission. A mission to help people for the holidays. He would chop wood for them, repair their sinks, and sing carols. Everyone liked Donald and his help. Everyone chipped in and bought him new boots for Christmas.
Why did Everyone chip in?
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: Mark was very political. He cared a lot about poverty and crime. He often marched in protests. This last weekend he started his own. It wasn't that big but he is still proud of the support.
Why was Mark very political?
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: Leo loved to drink alcohol. He went to a party with his friends. Leo had too many drinks. He woke up in the hospital with alcohol poisoning. Leo vowed never to drink again.
Why did He wake up?
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: Jane used a wireless usb mouse for her laptop. One day she put the laptop in her bag and went to work. When she removed it the usb portion was broken. It snagged, and was yanked from the laptop. Jane had to purchase a new mouse later that day.
Why did It snag ,?
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: There was a little girl who owned a pet rock. She wanted to take it to school with her. She hid it in her backpack. She then showed all of her friends. Her teacher saw it and took it away forever.
Why did She hide 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: Jan went to the mind reader at the county fair. She asked him if he knew what she was thinking. The mind reader nodded. Jan asked how could it be that he knew this? The mind reader told her that she had told him by her body language.
Why did She ask him?
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: When I was a kid, I loved to play in the snow. I built snow men a lot. One at a neighborhood kid knocked down my snowman. I was really upset and cried. His mom made him come over and apologize.
Why did I build snow men?
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: Jason grew up riding motorcycles. He won his first motorcycle race at the age of 13. He kept racing and improving. Kawasaki sponsored him at the age of seventeen. Jason said that gave him to confidence to win the motocross.
Why did Jason say that gave him to confidence to win the motocross?
Output: 


Output: Not Answerable