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This repository was archived by the owner on Mar 24, 2023. It is now read-only.
Right, single-item iteration will happen in two situations:
for very small taxonomies (when the number of leaf categories is smaller than the size of the requested sample)
in the further iteration, when the number of categories left to disambiguate is relatively small.
Ideally, the number of returned items in interaction should converge to 0. If it does not (i.e. stays above 0 for many iterations), then there is no way to disambiguate specific categories and create a complete mapping. The ultimate mapping and annotation will be suboptimal.
Currently, the sample size is always 10 but in the case of available labels of more than 10, this makes no sense.
This is more about algorithm and less about UI.
Perhaps sample size should be calculated automatically depending on the labels count, etc.
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