Merge remote-tracking branch 'origin/main' into feat/curr-adj

This commit is contained in:
joesharratt1229 2025-04-01 16:17:31 +00:00
commit 4b9c155cef
9 changed files with 158 additions and 9 deletions

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@ -1,10 +1,11 @@
from .arc_1d import Arc1DConfig, Arc1DDataset
from .arc_1d import Arc1DConfig, Arc1DCurriculum, Arc1DDataset
from .arc_agi import ArcAgiConfig, ArcAgiDataset
from .rearc import ReArcConfig, ReArcCurriculum, ReArcDataset
__all__ = [
"Arc1DConfig",
"Arc1DDataset",
"Arc1DCurriculum",
"ArcAgiConfig",
"ArcAgiDataset",
"ReArcDataset",

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@ -2,6 +2,7 @@ from dataclasses import dataclass
from random import Random
from typing import Optional
from ..coaching import BaseCurriculum, RangeAttributeDefinition
from ..dataset import ProceduralDataset
from ..factory import register_dataset
@ -108,9 +109,31 @@ class Arc1DDataset(ProceduralDataset):
"size": size,
"train_examples": train_examples,
"test_example": test_example,
"difficulty": {
"size": (self.config.min_size, self.config.max_size),
},
},
}
class Arc1DCurriculum(BaseCurriculum):
"""Curriculum for ARC 1D tasks"""
def __init__(self):
super().__init__(Arc1DCurriculum.__name__, Arc1DConfig)
# Define attributes
self._define_attributes(
RangeAttributeDefinition(
name="size",
levels=[10, 25, 50, 100],
lower_field_name="min_size",
upper_field_name="max_size",
description="Grid size",
ensure_interval=True,
)
)
# Register the dataset
register_dataset(DATASET_NAME, Arc1DDataset, Arc1DConfig)
register_dataset(DATASET_NAME, Arc1DDataset, Arc1DConfig, Arc1DCurriculum)

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@ -4,7 +4,7 @@ Logic tasks for training reasoning capabilities.
from .aiw import AliceInWonderlandConfig, AliceInWonderlandCurriculum, AliceInWonderlandDataset
from .circuit_logic import CircuitLogicConfig, CircuitLogicCurriculum, CircuitLogicDataset
from .knights_knaves import KnightsKnavesConfig, KnightsKnavesDataset
from .knights_knaves import KnightsKnavesConfig, KnightsKnavesCurriculum, KnightsKnavesDataset
from .propositional_logic import PropositionalLogicConfig, PropositionalLogicCurriculum, PropositionalLogicDataset
from .self_reference import SelfReferenceConfig, SelfReferenceCurriculum, SelfReferenceDataset
from .syllogisms import SyllogismConfig, SyllogismDataset
@ -31,4 +31,5 @@ __all__ = [
"CircuitLogicCurriculum",
"KnightsKnavesConfig",
"KnightsKnavesDataset",
"KnightsKnavesCurriculum",
]

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@ -8,6 +8,8 @@ import numpy as np
from reasoning_gym.factory import ProceduralDataset, register_dataset
from ..coaching import BaseCurriculum, ScalarAttributeDefinition
DATASET_NAME = "knights_knaves"
COMMON_NAMES = [
@ -462,6 +464,11 @@ class KnightsKnavesDataset(ProceduralDataset):
"solution": problem["solution"],
"names": formatted["names"],
"knight_knave_terms": formatted["knight_knave"],
"difficulty": {
"n_people": self.config.n_people,
"depth_constraint": self.config.depth_constraint,
"width_constraint": self.config.width_constraint,
},
}
return {"question": question, "answer": answer, "metadata": metadata}
@ -515,4 +522,30 @@ class KnightsKnavesDataset(ProceduralDataset):
return 0.0
register_dataset(DATASET_NAME, KnightsKnavesDataset, KnightsKnavesConfig)
class KnightsKnavesCurriculum(BaseCurriculum):
def __init__(self):
super().__init__(KnightsKnavesCurriculum.__name__, KnightsKnavesConfig)
self._define_attributes(
ScalarAttributeDefinition(
name="n_people",
levels=[2, 3, 4, 5],
description="Number of people in the problem",
field_name="n_people",
),
ScalarAttributeDefinition(
name="depth_constraint",
levels=[2, 3, 4, 5],
description="Depth of the problem",
field_name="depth_constraint",
),
ScalarAttributeDefinition(
name="width_constraint",
levels=[2, 3, 4, 5],
description="Width of the problem",
field_name="width_constraint",
),
)
register_dataset(DATASET_NAME, KnightsKnavesDataset, KnightsKnavesConfig, KnightsKnavesCurriculum)