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external benchmark
MATH-500 (Kaggle benchmark v2). Every model the catalog carries a published MATH-500 (Kaggle) value for, ranked by that value.
Kaggle's run of the 500-problem MATH subset, version 2 of the board, separate from provider, Vals, and Artificial Analysis MATH-500 rows.
The benchmark is defined by Measuring Mathematical Problem Solving With the MATH Dataset, but the catalog carries no value for it yet. An absent value is shown as absent here rather than as a zero.
What the benchmark measures and how its value is published, from the source’s own record.
MATH-500 (Kaggle) (MATH-500 (Kaggle benchmark v2)) is an external benchmark published by Measuring Mathematical Problem Solving With the MATH Dataset. Kaggle's run of the 500-problem MATH subset, version 2 of the board, separate from provider, Vals, and Artificial Analysis MATH-500 rows. Its evaluation set is described by the source as 500 competition math problems; task version 8.
Each model's result is published by Measuring Mathematical Problem Solving With the MATH Dataset as accuracy (%). ModelScale prints that value to 1 decimal place, exactly as published, and never converts or rescales it. This page ranks the 0 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.