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Related Questions
- What are the potential biases that can occur when selecting data points for human evaluation?
- How can annotators' prior knowledge or experiences influence the evaluation process?
- What are some common mistakes to avoid when selecting data points for human evaluation, such as over-representing certain classes or demographics?
- How can you ensure that the selected data points are representative of the target population or task?
- What are some strategies for mitigating the impact of noisy or ambiguous data points on human evaluation results?
- How can you balance the need for diversity in the data points with the need for sufficient sample size for reliable evaluation?
- What are some best practices for documenting and justifying the selection of data points for human evaluation?
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