Balanced Strategies for Data Science Success
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Questions and Answers

What is one way to create labeled datasets?

  • Refreshing the model
  • Applying translation models
  • Asking human labelers to annotate the data (correct)
  • Using chatGPT models

    • Why is data labeling sometimes time-consuming?

  • The need for human examination and annotation (correct)
  • Quality consistency issues
  • Subjective nature of annotation
  • Due to using translation models

    • What is a potential issue with data labeling in terms of quality consistency?

  • Using chatGPT models for labeling
  • Refreshing the model regularly
  • Annotators not fully understanding the task
  • Subjective nature of annotation (correct)

    • Why might annotators not fully understand the task in data labeling?

    <p>Not receiving proper guidelines</p> Signup and view all the answers

    How can one ensure the quality of collected data in data labeling?

    <p>Labeling the same small data across multiple annotators</p> Signup and view all the answers

    What is a key aspect of Data Versioning and Tracking?

    <p>Providing description and tracking changes</p> Signup and view all the answers

    Why is it important to document exact changes in data versioning?

    <p>To track and understand modifications over time</p> Signup and view all the answers

    What can be a challenge when tracing changes in large datasets over time?

    <p>Difficulty in tracking changes due to dataset size</p> Signup and view all the answers

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