What should you do if the average text size is over 16 mb when creating a dataset?

When the average text size in your dataset exceeds 16 MB, it's crucial to assess the value of the large files rather than taking immediate or drastic actions. Reviewing a sample of these large files helps to determine their relevance and potential impact on your analysis or project goals. This approach allows you to make informed decisions about whether to include these files in your dataset creation process or to consider alternatives, such as reducing file sizes, filtering out less valuable content, or archiving less critical data.

This careful evaluation maintains the integrity of your dataset and ensures that only useful information is retained for your analysis. Instead of eliminating datasets outright or bypassing the creation process, which could lead to loss of potentially valuable insights, this method encourages a balanced approach where quality and relevance are prioritized. Also, increasing the text size limit without understanding the implications can compromise performance and analysis, making it a less advisable option.