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MATH history

Snapshots are retained. Added and removed counts compare normalized words with the preceding revision.

r3Seed corpus update
+0 / −0 words

As of 2026-07-13

MATH evaluates competition-style mathematical problem solving across algebra, geometry, number theory, counting and probability, and related school-level areas.

Revision snapshot

Task and data. MATH contains 12,500 competition-mathematics problems across seven subjects and five difficulty levels, each paired with a worked solution in the released dataset.

Scoring. The paper primarily reports exact-answer accuracy after normalization of equivalent final-answer formats; higher is better within the same split and generation rules.

What it measures. competition-style mathematical problem solving across algebra, geometry, number theory, counting and probability, and related school-level areas.

Comparison rules. Separate few-shot GPT-3 from AMPS-pretrained and fine-tuned GPT-2 results. Modern MATH variants and scoring pipelines are different lineages.

Access and licensing. The Compendium does not reproduce problems, figures, or solutions. Code licensing does not automatically grant rights to every source problem.

r2Seed corpus update
+0 / −114 words

As of 2026-07-13

MATH evaluates competition-style mathematical problem solving across algebra, geometry, number theory, counting and probability, and related school-level areas.

Revision snapshot

Task and data. MATH contains 12,500 competition-mathematics problems across seven subjects and five difficulty levels, each paired with a worked solution in the released dataset.

Scoring. The paper primarily reports exact-answer accuracy after normalization of equivalent final-answer formats; higher is better within the same split and generation rules.

What it measures. competition-style mathematical problem solving across algebra, geometry, number theory, counting and probability, and related school-level areas.

Comparison rules. Separate few-shot GPT-3 from AMPS-pretrained and fine-tuned GPT-2 results. Modern MATH variants and scoring pipelines are different lineages.

Access and licensing. The Compendium does not reproduce problems, figures, or solutions. Code licensing does not automatically grant rights to every source problem.

r1Seed corpus update

As of 2026-07-13

MATH evaluates competition-style mathematical problem solving across algebra, geometry, number theory, counting and probability, and related school-level areas. Its published results are preserved here as dated, setup-specific anchors rather than a universal model ranking.

Revision snapshot

Task and data. MATH contains 12,500 competition-mathematics problems across seven subjects and five difficulty levels, each paired with a worked solution in the released dataset.

Scoring. The paper primarily reports exact-answer accuracy after normalization of equivalent final-answer formats; higher is better within the same split and generation rules.

What it measures. competition-style mathematical problem solving across algebra, geometry, number theory, counting and probability, and related school-level areas.

What it does not measure. formal proof correctness, open-ended research mathematics, tool-assisted mathematics, calibration, or the pedagogical quality of generated derivations.

Limitations. Exact-answer grading can accept flawed derivations, human comparison used only 20 sampled problems, and static public items can contaminate training.

Comparison rules. Separate few-shot GPT-3 from AMPS-pretrained and fine-tuned GPT-2 results. Modern MATH variants and scoring pipelines are different lineages.

Access and licensing. The Compendium does not reproduce problems, figures, or solutions. Code licensing does not automatically grant rights to every source problem.

Result-reading note. Every result below was published by the named third party and reviewed by the Compendium on 2026-07-13. Flintglade did not run, reproduce, certify, or independently validate these evaluations. A score only belongs to its recorded benchmark version, split, prompt or scaffold, metric, and subject version; omitted setup details are called out instead of guessed.