How to decrease sample size of each class in dataset?

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I've been trying to create a limited dataset from the emnist byclass dataset. Its currently at 400k samples and I want to downsize it to about 120k or lower without the risk of having unequal samples for each class. Is there a way I can do so without having to manually go through each class and find out the sample size and decrease.
these are the curent classes/labels included
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dpb
dpb on 31 May 2022
"limited dataset from the emnist byclass dataset"
OK, I'll bite. What's an emnist?
I don't see how you can do anything by a class however that is determined if you can't ID the class locations in the dataset. One would presume there must either be a class variable in the dataset by observation or a grouping variable to serve the same purpose available somewhere; otherwise what purpose would having classes serve?
Need reference and/or background to have any context for the Q?
However, groupsummary over whatever that grouping variable is will give you the group counts directly.

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