ModeBench / EVALUATION.md
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Release frozen ModeBench Levels 1, 2 and 3 with verified splits and executable evaluation
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Executable verification and canonical identity

For responses already decoded to the task's verifier surface, the supplied code/oat_drgrpo/math_grader.py entry point is validated_modebench_outcome_key(response, row["answer"]). It returns a canonical key only when that same response passes the executable task verifier; invalid responses return None.

Domain Executable acceptance Canonical identity
Graph Coloring Parse assignments; preserve fixed colors and satisfy every edge Complete color vector
Countdown Restricted arithmetic AST, exact operand multiplicities and exact target value Normalized expression AST with registered commutative normalization
Python Factors Restricted function AST executed in the bounded external worker on the specified cases Executed return vector
MathIR Restricted action menu expanded and executed using exact equation transformations Executed normalized state trajectory
PantryPlan Bounded ingredient quantities, serving steps, mass/nutrient constraints and dietary restrictions Ingredient support

Install the versioned dependencies recorded in MANIFEST.json/requirements-verifier.txt; prepend the release's code directory to Python's import path. The code is supplied as inspectable ordinary source, not automatically executed by the datasets loader.

import sys
sys.path.insert(0, "path/to/ModeBench/code")
from oat_drgrpo.math_grader import validated_modebench_outcome_key

key = validated_modebench_outcome_key(response, row["answer"])
verified = key is not None

Policy action adapters must run before this grader when the registered interface uses them. In particular, Pantry's six-bit support mask is not an allocation string: use decode_pantry_support_mask(mask, json.loads(row["answer"])) from oat_drgrpo.pantry_support_action, then grade the returned allocation. The frozen adapter searches only the chosen support's registered quantity grid and returns an invalid sentinel when infeasible; it does not consult a gold support catalogue. canonical_actions.py preserves the other registered action-to-verifier adapters.

Python Factors retains its original separate, syntax-restricted worker. Use the supplied implementation for model outputs rather than evaluating arbitrary response strings in a notebook. The code also contains imported legacy task support needed by the original module; this release's dataset configurations contain only the five listed domains.

All copied verifier/template dependencies are authenticated against the completed Level-3 confirmation's source hashes. The release validation checks canonical problem identity uniqueness and disjointness, row/feature preservation, and the original structural/support-histogram records. It does not regenerate every exhaustive answer catalogue, retrain models, or claim a new model-admission result.