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how do you build an eval set for column-meaning inference when the ground truth is the thing nobody knows

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

disclosure up front because it shapes the question: i work at SchemaLabs. we train models that read tables and work out what each column is from the values rather than the header. so i have a commercial interest here. no link, per sub rules. i am asking because our own eval design has a hole in it…

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  1. 2026-09-09 23:33 · r/MLQuestions
    how do you build an eval set for column-meaning inference when the ground truth is the thing nobody knows

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