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: Deb was visiting family for the holidays. They were at dinner when Deb's job came up. Everyone asked Deb about work, and Deb got nervous. The truth was that she had been unemployed for some time. Finally, she decided to just admit it to her family.
Why did Everyone ask Deb?
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 decided to get a burrito on her lunch break. She figured her 30 minute break was long enough to go. She drove to the restaurant, and was shocked to see a line. She decided to wait in line. Amy's boss was disappointed she was 15 minutes late from lunch.
Why did She decide to wait in line?
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: Jeff visited a giraffe that was in the zoo. He fed several bard pellets and petted him. The giraffe jumped as soon as Jeff tapped his head. It managed to run away. However, it turned around and started charging at Jeff.
Why did It manage to run away?
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: Kia was in school one day. To her horror, she found that she had started her period! She ran to the nurse and explained what happened. The nurse sent Kia home for a change of clothes. Kia went home gratefully to change her stained underwear.
Why did Kia 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: My children asked for a pet for Christmas. I decided I would buy them one as a gift. I went to the pet shop. I chose 2 young kittens and brought them home. My children were pleased with their new pets!
Why did I go to the pet shop?
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: Jenny has never loved eating vegetables. She learns that many restaurants are serving kale in her hometown. Jenny decides to buy some kale and cook it at home. She decides that kale is bitter and disgusting. Jenny's encounter with kale has made her hate vegetables even more.
Why did She learn that many restaurants are serving kale in her hometown?
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: 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 She ask Kim?
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: Angie bought a sexy witch costume for a Halloween party. She asked her friend, a makeup artist, to do her makeup. Angie imagined turning heads when she walked into the party. When the makeup was done, the friend handed Angie a mirror. Looking back was an ugly witch with a big black mole.
Why did She ask her friend , a makeup artist ,?
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: Lo was twelve when her parents announced they were expecting again. Lo was angry and grumpy! She took a job babysitting to get her away from her home. Gradually she realized she loved little kids! Soon she hurried home to wait to welcome her new baby brother!
Why was Lo angry and grumpy?
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 was a slow typist. So she wasn't able to type a long essay quickly. But she found an online typing test game. She played it everyday. And Kim became a fast typist.
Why did She play 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: Marcia loved to dance. She wanted to become a better dancer. To become a better dancer she started to take classes. Now she is an expert at several types of dance. She now competes in many dance competitions!
Why did Marcia love to dance?
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: Gertie was worried her baby was not meeting his milestones. She worked very hard to get his weight up. Sometimes she would have him do tummy time to get strong. She took her baby boy to the doctor. The doctor said the baby was doing very well.
Why did She take her baby boy?
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 went to the deli to get something to eat. I waited in line for what seemed like forever. When it was my turn in line I didn't know what to get. I looked at the menu but it was very large. People behind me began to shout for me to decide.
Why did I look at the menu?
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: Bill took his Mother out to the casino yesterday. Bill won a jackpot on a slot machine. He split the winnings with his Mother. On the way home, they stopped at their favorite pizza place. Bill can't wait to go back and gamble again.
Why did Bill win a jackpot?
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: Ann really wanted a burger. But she found that all the local restaurants were closed! Ann dug through her freezer and found beef and rolls. She impatiently fried up her own homemade burgers. By the time they were done, she was so hungry she ate three!
Why did Ann dig through her freezer?
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: Kevin was a bully in junior high and high school. He signed up with Facebook to laugh at people he bullied. But Kevin had a car accident and his wife and daughter died. Tons of comments for support flooded Facebook. Kevin read the most empathetic words from people he bullied.
Why was Kevin a bully in junior high and high school?
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: Cam called his friend Joe to find out where Joe was. Joe explained that he was at the diner and invited Cam. Cam drove to the nearest diner and looked for Joe. Joe was nowhere to be seen. Cam called Joe and Joe said he was at a different diner.
Why was Joe nowhere?
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 spend an hour?
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: Jim and I decided to go on a canoe trip. We gathered up all of our gear and drove to the river. We launched our canoes into the river. The current was very swift from the recent rains. Jim's canoe tipped over and he fell into the cold river.
Why did Jim and I decide to go on a canoe trip?
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: Dana was a new preschool teacher in Texas. She loved her job and students very much. Dana always kept a watchful eye over her students. During nap time one student began to have a seizure. Dana reacted immediately and saved her student's life!
Why did She love her job and students?
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: Jared wanted to become an actor. He auditioned for a local play. He was cast in that play and did a great job. There was a talent agent in the audience. The talent agent signed Jared and he went on to become famous.
Why did He audition for a local play?
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: Cathy has over 100 pairs of shoes. She asked her husband to build her shoe racks. She came home from work one day and found a surprise. Her closet had been transformed. Her husband had built her the ultimate shoe closet.
Why did She come 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: Chad looked for a clean pair of pants. He looked in the closet to find none. He looked in the dryer for a pair. He looked in his car. He bought a new pair at the mall, again.
Why did He look in his car?
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: Bonnie and Connie were getting tired of wearing matching clothes. They talked their mom into buying clothes of different styles. Connie bought outfits that were pink and frilly. Bonnie bought outfits that were black and revealing. Both girls felt more unique and happier in different outfits.
Why did They talk their mom?
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: Jeff wanted to go to sleep. He had school early the next day. Michael ended up playing video games. He played till very late at night. Jeff fell asleep in class.
Why did Jeff want to go to sleep?
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: Marilyn had had a headache all day. She took some over-the-counter painkillers to subdue the pain. Nothing seemed to help her discomfort. She found it difficult to concentrate all day. Her headache remained until she stepped into her home after her shift.
Why did She find it difficult to concentrate all day?
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: John read a book that changed his life. He began voraciously reading after this. He learn he can live a thousand lives by reading a thousand books. He soaked up a lot of wisdom. He grew as a person, and became fulfilled and happy.
Why did He begin voraciously reading after this?
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: Uncle Jeb was playing cards with his buddies He heard a strange noise coming from the basement Jeb slowly opened the door He walked down the stairs and flipped on the light It was just his puppy dog getting into the trash
Why did He walk down the stairs?
Output: 


Output: Answerable