text: yay for vague thread titles!
  anyhoo. colleague mentioned he's going to the cinema tonight, i said, oh yeah, orange wednesdays init. confusing. it's what wednesdays? says he. orange wednesdays.
  so we explain to this slightly shocked and disbelieving guy all about orange wednesdays. i just assumed pretty much everyone in this country had heard of it
  so yeah, let's talk about things that you've found out people have never heard of that you thought everyone knew all about
  yay for bad english in an OP
explanation: The text extract is a casual conversation about a social observation. 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: yay for vague thread titles!
  anyhoo. colleague mentioned he's going to the cinema tonight, i said, oh yeah, orange wednesdays init. confusing. it's what wednesdays? says he. orange wednesdays.
  so we explain to this slightly shocked and disbelieving guy all about orange wednesdays. i just assumed pretty much everyone in this country had heard of it
  so yeah, let's talk about things that you've found out people have never heard of that you thought everyone knew all about
  yay for bad english in an OP
distilabel_metadata.role: user
distilabel_metadata.raw_output_q_a_detector_0: The text extract is a casual conversation about a social observation. It does not contain any math question or answer.
  
  Label: no-question