LangChain - Evaluation and Testing
Which component is essential when creating an evaluation dataset for question answering in LangChain?
Which component is essential when creating an evaluation dataset for question answering in LangChain?
easy📝 Conceptual Q2 of 15
Step-by-Step Solution
Solution:
Step 1: Identify what evaluation datasets need
Evaluation datasets require inputs and expected outputs to compare model results.Step 2: Match this to question answering datasets
For QA, this means questions paired with their correct answers.Final Answer:
Pairs of questions and correct answers -> Option AQuick Check:
QA evaluation needs question-answer pairs [OK]
Quick Trick: Evaluation needs input and expected output pairs [OK]
Common Mistakes:
MISTAKES- Using unlabeled data for evaluation
- Ignoring the answer part in QA datasets
- Confusing model config with dataset content
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