The One Table Benchmark evaluates tabular models across 56 datasets and 20 capability axes, covering generation, imputation, and prediction. It uses aligned data splits to compare how training objectives for different tasks interact within a single model.
HOW THIS AFFECTS YOU
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researcherYou can use this to test if a single model can handle multiple tabular tasks like imputation and prediction at once.