# MATH-500 (Kaggle) leaderboard

external benchmark

> Every figure below is reproduced as its upstream source published it: nothing is modelled, estimated, interpolated or converted. `Unavailable` means no source published the value — it is never a zero. Each value carries its evidence state and the date it was observed.

Page: https://modelscale.dev/leaderboards/benchmarks/external-kaggle-math500

MATH-500 (Kaggle benchmark v2). Every model the catalog carries a published MATH-500 (Kaggle) value for, ranked by that value.

## Benchmark record

| Field | Value |
| --- | --- |
| Category | external |
| Measure | Accuracy (%) |
| Tasks | 500 competition math problems; task version 8 |
| Difficulty | — |
| Published by | [Measuring Mathematical Problem Solving With the MATH Dataset](https://arxiv.org/abs/2103.03874) |

Kaggle's run of the 500-problem MATH subset, version 2 of the board, separate from provider, Vals, and Artificial Analysis MATH-500 rows.

## MATH-500 (Kaggle) ranking

No model in the catalog has a published MATH-500 (Kaggle) score. 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.

Rows are ordered by the value the source published, highest first. The source does not state whether a higher value is the better result, so this document does not either: for a benchmark that measures a rate of failure, read the table from the bottom.