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: Amy's coffee buzz had worn off and she was crashing hard. She felt no better after lunch. In fact she may have felt worse. She lay her head on the table until the bell rang. Amy had no clue how she was ever going to survive this day.
Why did She feel no better after lunch?
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: Samantha needed to get new car tires. Her winter tires were all worn out. She searched online for specials. She was able to purchase a pair of tires for $200 off retail price. Her mechanic installed them on her car when the tires arrived.
Why did Samantha need to get new car tires?
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: Tyron loved to play football. He was the star on his team from grade 6 on up. He got a scholarship to state college. He played well until the final game. He broke his leg and ruined his future career.
Why did Tyron love to play football?
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: Drew was excited about the upcoming hunting season. He got all his hunting equipment out of storage. He cleaned his guns and bows. Drew went off hiking in the woods. He shot his first deer of the season!
Why did Drew go off?
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: Kyle took out a book from the library. He read it and then misplaced it in his messy home. He searched his whole house and could not imagine where it went. He found it months later under a pile of newspapers. Kyle brought it back to the library and had to pay a big fine.
Why did He search his whole house?
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: Bob and his kids love football. Their favorite team is losing Bob and his kids are sad to see their team losing. Their team wins the game in the end. Bob and his kids share a hug to celebrate the win.
Why did Bob and his kids share a hug?
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 worried that her son would catch cold playing outside. She bought him a puffy snowsuit to keep out the cold. She sent her son out to play, feeling like a good mom. When he came back inside, the zipper on the snowsuit was stuck. By the time he got the suit off, Jane's son was burning with fever.
Why did She buy 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: Ed wanted to start a band. He put a sign up advertising. Soon he got calls from prospective members. He auditioned them and assembled a band. Soon they were practicing every week together!
Why did He audition them?
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: Thomas is an experienced wood worker and he rarely makes mistakes. He brags about his woodworking prowess. However, one day Thomas is lazy and he gets a splinter from the wood. The splinter hurts Thomas. He decides not to brag so much about his woodworking skills.
Why did He decide not to brag so much about his woodworking skills?
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: Sue's birthday was coming up. She wondered if anyone else at work knew. On her birthday, her co-workers surprised her with a birthday cake. They sang happy birthday and everyone ate cake. Sue was happy that her co-workers had celebrated with her.
Why did She wonder if anyone else at work knew?
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: Kay loved to read and write about outer space. But her parents thought she should focus on schoolwork. They feared she'd never get a real job if she dreamed all the time. In the end, though, Kay had the last laugh. She found a great job as an astronaut!
Why did She find a great job as an astronaut?
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: Sandy's mom packed her a ham sandwich for lunch again. Frannie had a cheese sandwich that looked much better. She offered to trade her sandwich for Frannie's. Frannie agreed and they swapped. The were both happy with the trade.
Why did Frannie agree ?
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: The scouts gathered around the hot fire. The scoutmaster had five initiates lined up ready to walk. He prepped their feet and they started to walk across the coals. As the last initiate successfully made it across, the scouts cheered. The s'mores and marshmallows were brought out to celebrate.
Why did He preppe their feet?
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 He want to make garlic bread to go with 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: Amy had a little goldfish. She put it in a big tank. Then she added a filter and a few more fish friends. She cleaned the tank every week. Amy's fish were happy and lived a long time!
Why did She clean the tank?
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: Maggie put a load of laundry in the washer. Then, she accidentally fell asleep. The next morning, she remembered her laundry. She checked on it and found that it smelled mildewy and gross. She decided to run another wash cycle.
Why did She check on 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: I wanted to crochet a scarf. I sat down and began my work. I crocheted after work for many days. When I decided I was finished, I tried the scarf on. I'd made it way too long!
Why did I want to crochet a scarf?
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: Howard bought the new zelda game. He was so excited about it. He played the game for hours straight. He forgot to eat. He had to turn it off when his mom yelled at him
Why had He to turn it off when his mom yelled at him?
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: Tom was at a coffee shop. He was very thirsty. He approached the counter. He asked for green tea. He drank green tea to quench his thirst.
Why did He approach the counter?
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: Maggie was only four Year's old. Today she lost her very first tooth. It was a milestone moment for her parents. Her parents immediately put money under her pillow. Maggie was happy.
Why was Maggie only four Year 's old?
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 likes to watch old westerns on TV. He turns up the volume so loud that you can't hear anything else. One day while he was watching the movie Shane the police came. The officer said that a neighbor had reported a domestic disturbance. He wrote down that the cause of the trouble was a cowboy gun fight.
Why did He write down?
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: Michael liked to lift weights. He went to the gym every single day. He decided that he was in great shape. Michael entered a Fit Man Competition and trained for many weeks. He lost in the finals but decided that he would do it again.
Why did He lose in the finals?
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: Lucy woke up Saturday morning to a wonderful smell. She couldn't tell what it was right away. It was cinnamon. Her mother had made her special homemade cinnamon rolls. She rushed downstairs to get one before her brother ate them all.
Why did Lucy 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: I bumped my elbow on the table. It hurt so much I let out a howl. My daughter was staring at me and my son was laughing. I made some stupid joke to mask the residual pain. Then I started to say grace.
Why did I bump my elbow?
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: My family went to a local farm for a Christmas tree. The farm offered two types of trees. We decided to cut our own Blue Spruce tree. Once it was cut down we used a cart to bring it to the car. Then we took the tree home in our trunk.
Why did We decide to cut our own Blue Spruce tree?
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: Rosie comes home late from a party and goes straight to bed. She forgot to take out her contact lenses. Rosie wakes up with very dry and painful eyes. Even after removing her contacts, her eyes are still irritated. She learns her lesson and vows never to neglect her eyes again.
Why did She forget to take out her contact lenses?
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 wanted to do a different thing than the usual. I got into my car and went on the road. I stopped at a blockbuster video store. I went inside and rented a movie. I brought the movie home and watched the whole thing.
Why did I want to do a different thing than the usual?
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: Thomas never tried to ski before. His friends made him go to the mountain. He put on his skis and went down the mountain. It was going good until the tree came up. Thomas slammed into the tree ending his first day of skiing.
Why did Thomas slam into the tree ending his first day of skiing?
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: Herman needed money. He went through many options. Herman recently found out he was eligible for a loan. Herman took the loan. Herman now has enough money for his task.
Why did He go through many options?
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 go 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: Gerald was really excited for a new book that was coming out. He signed up online to get an official signed copy from the writer. He got an email that told him he had won a copy. He went to the signing in Los Angeles and waited in line. Gerald received his copy and went home to read it.
Why did Gerald receive his copy?
Output: 


Output: Answerable