core/evals/proofwriter_owa/oracle.py
Shay a6403edcd9
feat(eval): ProofWriter-OWA refusal-floor lane (B1) — independent oracle, measure-only (#779)
* feat(eval): ProofWriter-OWA refusal-floor lane (B1) — independent oracle, measure-only

Mastery-v2 Step-3 Brief 1. Proves the open-world soundness floor: determine() never
asserts a query True when the open-world truth is Unknown or False. Hardens
"unknown != false" before the transitive-chain (B2) and closed-world (B4) work can
stress it.

- evals/proofwriter_owa/oracle.py: a SEPARATE minimal OWA label oracle (its own parser
  + reasoner + inverse/symmetric tables), importing NONE of determine, comprehend/
  MeaningGraph realization, or production predicate-entailment helpers (INV-25/27 — the
  gold producer is disjoint from the solver). Grammar: member/subset/is-a closure,
  explicit negation (No X is a Y -> disjointness, the source of gold-False), and #775
  inverse/symmetric ONE-HOP relational rules. No transitive relational chains.
- evals/proofwriter_owa/fixtures.jsonl: 19 hand-authored ProofWriter-OWA-style items
  (9 True / 7 Unknown / 3 False), SHA-pinned. Gold computed by the oracle; the fixture's
  hand-authored `expected` pins the oracle (so the oracle is itself verified).
- evals/proofwriter_owa/score.py: runs the production path (comprehend/comprehend_relational
  -> realize -> determine) vs the oracle gold; wrong = determine asserted True on a non-True
  gold.
- tests/test_proofwriter_owa_lane.py: SHA pin; oracle==expected; wrong==0; every
  serving_support gold-True determines True (no coverage gaps); no answer=False (INV-30).

Result: 19 items -> 9 correct (all serving_support True), 10 refused (Unknown/False),
0 wrong. Measure-only: no engine code touched; deliberately NOT a capability-index domain
(a refusal floor has low coverage and would drag coverage_geomean). INV-30 green; smoke 99/99.

Note: no live ProofWriter dataset access in this environment, so items are hand-authored
in OWA style (provenance.md cites ProofWriter V2020.12.3 / arXiv:2012.13048 for semantics,
attribution only) — but the GOLD is oracle-computed and verified, not hand-asserted.

* harden(eval): OWA lane CLI fails on coverage_gaps too (review #779)

score.py::main() exited nonzero only on wrong>0; it now ALSO exits nonzero when
coverage_gaps is non-empty (serving-supported gold-True items that refused), matching
the acceptance rule the tests already enforce and the module docstring. Both failure
modes print to stderr; exit is 1 if either fires. Verified non-vacuously (injected gap
-> exit 1). Lane test 5/5 green.
2026-06-15 12:28:20 -07:00

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6.5 KiB
Python

"""Independent OWA label oracle for the ProofWriter-OWA refusal-floor lane (B1).
This computes the open-world-assumption gold label (`True` / `Unknown` / `False`) for
each fixture item, DISJOINTLY from the engine: it does NOT import `determine`,
`comprehend`/MeaningGraph realization, or any production predicate-entailment helper
(INV-25 / INV-27). It has its own tiny parser for the closed B1 fixture grammar and its
own minimal relational algebra. The fixture's hand-authored `expected` field is pinned
equal to this oracle's output by the lane test, so the oracle is itself verified.
Grammar (closed — anything else raises):
facts: "<X> is a[n] <Y>." -> member(x, y)
"All <Xs> are <Ys>." -> subset(x, y) (regular plurals)
"No <X> is a[n] <Y>." -> disjoint(x, y)
"<A> is [the] <connective> <B>." -> rel(lemma, a, b)
query: "Is <X> a[n] <Y>?" -> member?(x, y)
"Are all <Xs> <Ys>?" -> subset?(x, y)
"Is <A> [the] <connective> <B>?" -> rel?(lemma, a, b)
OWA semantics:
member?(x, y): True if y is in the is-a closure of x's classes; False if some class
in that closure is declared disjoint from y; else Unknown.
subset?(x, y): True if y is in x's superclass closure; False if some class in that
closure is disjoint from y; else Unknown.
rel?(lemma, a, b): True on a direct edge, a declared INVERSE edge (b,a), or a declared
SYMMETRIC edge (b,a) — ONE hop only. Else Unknown. (No transitive relational
chains in B1; no relational negation in this grammar.)
"""
from __future__ import annotations
import re
# The oracle's OWN relational ontology — declared here, NOT imported from
# generate.meaning_graph.relational, so the gold producer stays disjoint from the
# solver. (It mirrors the pack's algebra for the predicates this fixture uses.)
_INVERSE: dict[str, str] = {
"less_than": "greater_than", "greater_than": "less_than",
"parent_of": "child_of", "child_of": "parent_of",
"left_of": "right_of", "right_of": "left_of",
"before_event": "after_event", "after_event": "before_event",
}
_SYMMETRIC: frozenset[str] = frozenset({
"sibling_of", "spouse_of", "equal_to", "distinct_from", "adjacent_to",
})
_CONNECTIVE: dict[str, str] = {
"parent of": "parent_of", "child of": "child_of", "sibling of": "sibling_of",
"spouse of": "spouse_of", "less than": "less_than", "greater than": "greater_than",
"equal to": "equal_to", "distinct from": "distinct_from",
"left of": "left_of", "right of": "right_of", "inside of": "inside_of",
"adjacent to": "adjacent_to",
}
# longest connective first so "parent of" wins before any single-token prefix
_CONN_ALT = "|".join(re.escape(k) for k in sorted(_CONNECTIVE, key=len, reverse=True))
_MEMBER = re.compile(r"^(\w+) is an? (\w+)\.$")
_SUBSET = re.compile(r"^All (\w+) are (\w+)\.$")
_DISJOINT = re.compile(r"^No (\w+) is an? (\w+)\.$")
_REL = re.compile(rf"^(\w+) is (?:the )?({_CONN_ALT}) (\w+)\.$")
_Q_MEMBER = re.compile(r"^Is (\w+) an? (\w+)\?$")
_Q_SUBSET = re.compile(r"^Are all (\w+) (\w+)\?$")
_Q_REL = re.compile(rf"^Is (\w+) (?:the )?({_CONN_ALT}) (\w+)\?$")
class OracleParseError(ValueError):
"""A fixture string is outside the closed B1 grammar — fail loudly, never guess."""
def _sing(word: str) -> str:
"""Singularize a regular plural class noun ('dogs' -> 'dog'). Used ONLY in the
explicitly-plural slots of the subset patterns, so 'species'/'Socrates' (which only
appear in singular `is a` slots) are never mangled."""
w = word.lower()
return w[:-1] if w.endswith("s") and not w.endswith("ss") else w
def parse_fact(text: str) -> tuple:
t = text.strip()
if (m := _DISJOINT.match(t)):
return ("disjoint", m.group(1).lower(), m.group(2).lower())
if (m := _SUBSET.match(t)):
return ("subset", _sing(m.group(1)), _sing(m.group(2)))
if (m := _REL.match(t)):
return ("rel", _CONNECTIVE[m.group(2)], m.group(1).lower(), m.group(3).lower())
if (m := _MEMBER.match(t)):
return ("member", m.group(1).lower(), m.group(2).lower())
raise OracleParseError(f"unparseable fact: {text!r}")
def parse_query(text: str) -> tuple:
t = text.strip()
if (m := _Q_REL.match(t)):
return ("rel?", _CONNECTIVE[m.group(2)], m.group(1).lower(), m.group(3).lower())
if (m := _Q_SUBSET.match(t)):
return ("subset?", _sing(m.group(1)), _sing(m.group(2)))
if (m := _Q_MEMBER.match(t)):
return ("member?", m.group(1).lower(), m.group(2).lower())
raise OracleParseError(f"unparseable query: {text!r}")
def _closure(start: str, supers: dict[str, set[str]]) -> set[str]:
"""`start` plus every superclass reachable over subset edges (BFS, deterministic)."""
seen = {start}
stack = [start]
while stack:
node = stack.pop()
for sup in sorted(supers.get(node, ())):
if sup not in seen:
seen.add(sup)
stack.append(sup)
return seen
def label(facts: list[str], query: str) -> str:
"""The OWA gold label for `query` given `facts`: 'True' | 'Unknown' | 'False'."""
members: dict[str, set[str]] = {}
supers: dict[str, set[str]] = {}
disjoint: set[frozenset[str]] = set()
rels: set[tuple[str, str, str]] = set()
for text in facts:
f = parse_fact(text)
if f[0] == "member":
members.setdefault(f[1], set()).add(f[2])
elif f[0] == "subset":
supers.setdefault(f[1], set()).add(f[2])
elif f[0] == "disjoint":
disjoint.add(frozenset((f[1], f[2])))
else: # rel
rels.add((f[1], f[2], f[3]))
q = parse_query(query)
if q[0] == "member?":
_, subj, cls = q
reach: set[str] = set()
for c0 in members.get(subj, ()):
reach |= _closure(c0, supers)
if cls in reach:
return "True"
if any(frozenset((d, cls)) in disjoint for d in reach):
return "False"
return "Unknown"
if q[0] == "subset?":
_, x, y = q
clo = _closure(x, supers)
if y in clo:
return "True"
if any(frozenset((d, y)) in disjoint for d in clo):
return "False"
return "Unknown"
# rel?
_, lemma, a, b = q
if (lemma, a, b) in rels:
return "True"
inv = _INVERSE.get(lemma)
if inv is not None and (inv, b, a) in rels:
return "True"
if lemma in _SYMMETRIC and (lemma, b, a) in rels:
return "True"
return "Unknown"