Competition Mathematics Problem Dataset Loading With Multi Subject Stratification

via “subject-domain problem categorization and retrieval”

12.5K competition math problems across 7 subjects and 5 difficulty levels.

Unique: Problems are curated and tagged with subject metadata from their original competition context, ensuring accurate domain classification. The 7-subject taxonomy reflects the structure of actual mathematics competitions, making it meaningful for evaluating mathematical reasoning across recognized disciplines.

vs others: More granular than generic math benchmarks that treat all math problems uniformly; more reliable than automatic subject classification because tags are assigned by domain experts during curation, not inferred post-hoc; enables domain-specific analysis that generic benchmarks cannot support.