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You want to create an evaluation dataset for a chatbot that answers FAQs. Which approach best fits LangChain's evaluation dataset creation?

hard📝 Conceptual Q8 of 15
LangChain - Evaluation and Testing
You want to create an evaluation dataset for a chatbot that answers FAQs. Which approach best fits LangChain's evaluation dataset creation?
AUse random user chats without answers as evaluation data
BCreate a list of Example objects with question-answer pairs representing FAQs
COnly include chatbot responses without questions
DCreate evaluation examples with only questions and no expected answers
Step-by-Step Solution
Solution:
  1. Step 1: Understand chatbot FAQ evaluation needs

    Evaluation requires known questions and correct answers to compare chatbot output.
  2. Step 2: Choose the correct dataset structure

    Using Example objects with question-answer pairs fits LangChain's pattern and evaluation goals.
  3. Final Answer:

    Create a list of Example objects with question-answer pairs representing FAQs -> Option B
  4. Quick Check:

    FAQ evaluation needs question-answer pairs [OK]
Quick Trick: Use question-answer pairs for chatbot evaluation [OK]
Common Mistakes:
MISTAKES
  • Using unlabeled chat logs
  • Ignoring expected answers
  • Providing only questions or only answers

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