text: Called with issue, appointment was quick, and Kathy was extremely nice and very professional. Made the experience very pleasant.
  Thank you for filling out our survey and giving us this great feedback. It's encouraging to know that our service team made such a great impression on you. We hope to see you again in the future.
  I was able to get there before my actual appt time and thank you for helping me get out early!
  It was great
  Everybody I came in contact with did a excellent job in our appreciated
explanation: The text extract appears to be a customer feedback or review for a service appointment. It does not contain any math question or answer.
distilabel_metadata.content: Evaluate the user given text extract and determine if it contains a math question and optionally and answer to this question.
  
  Output rules:
  
  1. Briefly describe the document and mention if it contains a question or a question and answer.
  2. Finalize the output with: Label: no-question,question,question-and-answer,multiple-question,multiple-question-and-answer
distilabel_metadata.role: system
distilabel_metadata.content: Called with issue, appointment was quick, and Kathy was extremely nice and very professional. Made the experience very pleasant.
  Thank you for filling out our survey and giving us this great feedback. It's encouraging to know that our service team made such a great impression on you. We hope to see you again in the future.
  I was able to get there before my actual appt time and thank you for helping me get out early!
  It was great
  Everybody I came in contact with did a excellent job in our appreciated
distilabel_metadata.role: user
distilabel_metadata.raw_output_q_a_detector_0: The text extract appears to be a customer feedback or review for a service appointment. It does not contain any math question or answer.
  
  Label: no-question