Add 13 new procedural datasets across 7 categories

New dataset categories: combinatorics, statistics, optimization, and
formal languages. Extended existing algebra, arithmetic, probability,
logic, and graphs packages with complex_advanced, linear_algebra, limits,
number_theory, conditional_probability, set_operations, and job_scheduling.

Each dataset includes config validation, deterministic seeding, custom
scoring, curriculum support, and comprehensive unit tests (92 new tests).
This commit is contained in:
Ritvik19 2026-04-18 16:42:54 +05:30
parent 49b07130b3
commit 6eb252ae32
36 changed files with 3705 additions and 1 deletions

View file

@ -20,6 +20,7 @@ from .gsm_symbolic.gsm_symbolic import GSMSymbolicDataset, GSMSymbolicDatasetCon
from .lcm import LCMConfig, LCMCurriculum, LCMDataset
from .leg_counting import LegCountingConfig, LegCountingCurriculum, LegCountingDataset
from .number_format import NumberFormatConfig, NumberFormatCurriculum, NumberFormatDataset
from .number_theory import NumberTheoryConfig, NumberTheoryCurriculum, NumberTheoryDataset
from .power_function import PowerFunctionConfig, PowerFunctionCurriculum, PowerFunctionDataset
from .prime_factorization import PrimeFactorizationConfig, PrimeFactorizationCurriculum, PrimeFactorizationDataset
from .products import ProductsConfig, ProductsDataset
@ -77,4 +78,7 @@ __all__ = [
"BitwiseArithmeticConfig",
"BitwiseArithmeticDataset",
"BitwiseArithmeticCurriculum",
"NumberTheoryConfig",
"NumberTheoryDataset",
"NumberTheoryCurriculum",
]