Essay

Explain the roles of beta = 1/40 and the dev set in weighting auxiliary data.

Question: In a concise analytical response, explain what beta = 1/40 accomplishes and why the dev set remains relevant when choosing beta.

Sample answer: Beta weights the auxiliary collection of 200,000 internet images in the objective. Setting beta to 1/40 gives that collection the same total weight as the 5,000 mobile images. This value is one specific weighting choice; other beta values can be considered and selected by tuning on the dev set.

Key points:

  • Beta weights the auxiliary internet-image data.
  • The objective contains 5,000 mobile images and 200,000 internet images.
  • Beta = 1/40 gives the two collections equal total weight.
  • Other beta values can be selected by tuning on the dev set.

Rubric: A strong response accurately identifies which data beta weights, explains the equal-total-weight effect of beta = 1/40, and states that other beta values may be tuned on the dev set. It must not claim that 1/40 is always the required value.

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Updated 2026-07-20

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