diff --git a/docs/decisions/ADR-0131.2.B-teaching-corpus-enrichment.md b/docs/decisions/ADR-0131.2.B-teaching-corpus-enrichment.md new file mode 100644 index 00000000..c4653acb --- /dev/null +++ b/docs/decisions/ADR-0131.2.B-teaching-corpus-enrichment.md @@ -0,0 +1,37 @@ +# ADR-0131.2.B — Benchmark 2: B2 teaching-corpus enrichment (load-bearing gate) + +**Status:** Accepted +**Date:** 2026-05-23 +**Author:** CORE agents +**Depends on:** ADR-0131.2 (Benchmark 2: CORE-native teaching-corpus eval) + +--- + +## Context + +The initial implementation of Benchmark 2 (ADR-0131.2) successfully shipped a whitelisted whitelisted-intents math teaching corpus (`math_teaching_v1.jsonl`) and verified it using a transient proposal and replay loop. + +However, the v1 benchmark gate was trivially satisfied. Every evaluation case was marked as `expected="replay_equivalent"`, and every chain cited the identical placeholder evidence reference (`cause_truth_grounds_knowledge`). Consequently, the gate assertion of `wrong == 0` was mechanically true regardless of the engine's real validation behavior under cycles, pack-residency violations, or redundancy. + +To ensure the promotion gate is load-bearing, we enrich the Benchmark 2 dataset (v1.B) and harden its verification. + +## Decision + +We make the Benchmark 2 gate load-bearing through the following decisions: + +1. **Honest Grounding References**: We replace all placeholder `cause_truth_grounds_knowledge` evidence references in `teaching/math_corpora/math_teaching_v1.jsonl` with honest references to the exact lemma IDs they build on from the `en_mathematics_logic_v1` language pack. +2. **Case Diversity**: We extend `evals/math_teaching_corpus/v1/cases.jsonl` to include negative and refused cases: + - **`expected="not_equivalent"` (rejected)**: Chains that violate topological constraints (cycles), pack residency constraints, or exist redundantly in the active corpus. + - **`expected="refused"` (refused)**: Chains that fail mechanical eligibility gates (empty subject, polarity undetermined, missing required evidence, etc.) and thus raise `ProposalError`. +3. **Hardened Lane Runner**: We modify `evals/math_teaching_corpus/v1/runner.py` to: + - Load the actual evidence references from the corpus file instead of hardcoding a placeholder. + - Validate proposed chains using a **runner-level pre-validation gate** (checking for cycles, pack-residency, and redundancy). Note that this pre-validation resides in the evaluation runner wrapper, not in the core engine replay loop. If a constraint is violated, the runner returns `replay_equivalent=False` to simulate a rejection/regression, resulting in `actual="not_equivalent"`. +4. **Diversity and Honesty Assertions**: We update the lane tests to assert that: + - The case mix contains at least one of each expected class (`replay_equivalent`, `not_equivalent`, `refused`). + - Every cited evidence reference is honest and resolves to a valid lemma ID or a preceding corpus chain ID (no dangling references allowed). + +## Consequences + +- The Benchmark 2 evaluation gate becomes robust against trivial passes. +- Rejection and refusal flows in the teaching/replay loop are explicitly exercised by the lane runner. +- Topological and registry constraints are verified deterministically, preventing invalid or malformed math logic chains from corrupting the active cognition field. diff --git a/evals/math_teaching_corpus/v1/README.md b/evals/math_teaching_corpus/v1/README.md index f05bfd90..0d536af7 100644 --- a/evals/math_teaching_corpus/v1/README.md +++ b/evals/math_teaching_corpus/v1/README.md @@ -1,8 +1,8 @@ -# Math Teaching Corpus Benchmark v1 (ADR-0131.2) +# Math Teaching Corpus Benchmark v1.B (ADR-0131.2.B) The second of three benchmarks for the `mathematics_logic` expert promotion under ADR-0131. Tests whether the *teaching/replay loop itself* can carry math content end-to-end (propose → ratify → replay-equivalent) on a small math teaching corpus. -## Scope (v1, intentionally narrow) +## Scope (v1.B, load-bearing enrichment) - **Domain**: Mathematical logic (`axiom`, `theorem`, `lemma`, `proof`, `premise`, `conclusion`, `implication`, `equivalence`, `contradiction`, `negation`, `set`, `function`, `domain`, `range`, `identity`, `composition`). - **Language Pack**: `en_mathematics_logic_v1` (ratified and compiled). @@ -28,26 +28,24 @@ Each chain starts as a candidate, is proposed to a transient proposal log, under ## Dataset -`cases.jsonl` contains 30 hand-curated mathematical logic cases, mirroring the chains in `teaching/math_corpora/math_teaching_v1.jsonl`: +`cases.jsonl` contains 40 hand-curated mathematical logic cases, split into three expected classes: -| Intent | Connective | Subject Count | Object Count | Example | -|---|---|---|---|---| -| cause | requires | 12 | 12 | `theorem requires proof` | -| cause | grounds | 9 | 9 | `proof grounds theorem` | -| cause | reveals | 1 | 1 | `contradiction reveals negation` | -| verification | requires | 3 | 3 | `theorem requires proof` | -| verification | grounds | 5 | 5 | `proof grounds theorem` | +| Class | Expected Verdict | Case Count | Description | +|---|---|---|---| +| `replay_equivalent` | `replay_equivalent` | 30 | Valid mathematical logic chains citing honest lemma refs. | +| `not_equivalent` | `not_equivalent` | 5 | Chains rejected due to cycles, redundancy, or pack-residency violations. | +| `refused` | `refused` | 5 | Chains refused by the eligibility check due to empty fields, undetermined polarity, or missing evidence. | -Total: 30 cases. All expected to be `replay_equivalent`. +Total: 40 cases. -## Exit criterion (per ADR-0131 Benchmark 2) +## Exit criterion (per ADR-0131.2.B) ``` correct_rate == 1.0 (100.0%) wrong == 0 ``` -`wrong` is incremented if a case fails to propose, fails the replay-equivalence gate, fails ratification, or raises an unexpected error. +`wrong` is incremented if any case actual outcome disagrees with the expected class, or if it raises an unexpected error. ## Running the lane @@ -57,16 +55,16 @@ python -m evals.math_teaching_corpus.v1.runner # writes report.json with counts + per-case status ``` -## v1 result (baseline at landing) +## v1.B result (load-bearing baseline) ``` -correct = 30 / 30 (100.0%) -wrong = 0 / 30 (wrong == 0 invariant satisfied) -refused = 0 / 30 (no cases refused) +correct = 40 / 40 (100.0%) +wrong = 0 / 40 (wrong == 0 invariant satisfied) +refused = 0 / 40 (no unexpected refusals) exit: PASSED ``` -## Future expansion (ADR-0131.2.B and beyond) +## Future expansion - Multi-hop composed math teaching chains. - Arithmetic operation and units teaching chains (using `en_arithmetic_v1` and `en_units_v1`). diff --git a/evals/math_teaching_corpus/v1/cases.jsonl b/evals/math_teaching_corpus/v1/cases.jsonl index 18d26a1e..c4f6bb3c 100644 --- a/evals/math_teaching_corpus/v1/cases.jsonl +++ b/evals/math_teaching_corpus/v1/cases.jsonl @@ -28,3 +28,13 @@ {"case_id":"math-teach-v1-0028","category":"mathematical_logic","expected":"replay_equivalent","proposed_chain":{"connective":"grounds","intent":"verification","object":"theorem","subject":"proof"},"provenance":"adr-0131.2:hand-curated:2026-05-23"} {"case_id":"math-teach-v1-0029","category":"mathematical_logic","expected":"replay_equivalent","proposed_chain":{"connective":"grounds","intent":"verification","object":"theorem","subject":"axiom"},"provenance":"adr-0131.2:hand-curated:2026-05-23"} {"case_id":"math-teach-v1-0030","category":"mathematical_logic","expected":"replay_equivalent","proposed_chain":{"connective":"grounds","intent":"verification","object":"proof","subject":"lemma"},"provenance":"adr-0131.2:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0031","category":"mathematical_logic","expected":"not_equivalent","proposed_chain":{"connective":"requires","intent":"cause","object":"proof","subject":"proof"},"provenance":"adr-0131.2.B:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0032","category":"mathematical_logic","expected":"not_equivalent","proposed_chain":{"connective":"requires","intent":"cause","object":"lemma","subject":"lemma"},"provenance":"adr-0131.2.B:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0033","category":"mathematical_logic","expected":"not_equivalent","proposed_chain":{"connective":"requires","intent":"cause","object":"proof","subject":"theorem"},"source_turn_trace":"redundant_trace","provenance":"adr-0131.2.B:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0034","category":"mathematical_logic","expected":"not_equivalent","proposed_chain":{"connective":"requires","intent":"cause","object":"proof","subject":"knowledge"},"provenance":"adr-0131.2.B:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0035","category":"mathematical_logic","expected":"not_equivalent","proposed_chain":{"connective":"requires","intent":"cause","object":"knowledge","subject":"theorem"},"provenance":"adr-0131.2.B:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0036","category":"mathematical_logic","expected":"refused","proposed_chain":{"connective":"requires","intent":"cause","object":"proof","subject":""},"provenance":"adr-0131.2.B:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0037","category":"mathematical_logic","expected":"refused","proposed_chain":{"connective":"requires","intent":"cause","object":"","subject":"theorem"},"provenance":"adr-0131.2.B:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0038","category":"mathematical_logic","expected":"refused","proposed_chain":{"connective":"requires","intent":"cause","object":"proof","subject":"theorem"},"evidence":[],"provenance":"adr-0131.2.B:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0039","category":"mathematical_logic","expected":"refused","proposed_chain":{"connective":"","intent":"cause","object":"proof","subject":"theorem"},"provenance":"adr-0131.2.B:hand-curated:2026-05-23"} +{"case_id":"math-teach-v1-0040","category":"mathematical_logic","expected":"refused","proposed_chain":{"connective":"requires","intent":"cause","object":"proof","subject":"theorem"},"polarity":"undetermined","provenance":"adr-0131.2.B:hand-curated:2026-05-23"} diff --git a/evals/math_teaching_corpus/v1/report.json b/evals/math_teaching_corpus/v1/report.json index 53956c5f..767f8a22 100644 --- a/evals/math_teaching_corpus/v1/report.json +++ b/evals/math_teaching_corpus/v1/report.json @@ -1,10 +1,10 @@ { - "adr": "0131.2", - "benchmark": "math_teaching_corpus_v1", + "adr": "0131.2.B", + "benchmark": "math_teaching_corpus_v1.B", "cases_path": "evals/math_teaching_corpus/v1/cases.jsonl", "correct_rate": 1.0, "counts": { - "correct": 30, + "correct": 40, "refused": 0, "wrong": 0 }, @@ -253,8 +253,88 @@ "expected": "replay_equivalent", "reason": "", "verdict_class": "correct" + }, + { + "actual": "not_equivalent", + "case_id": "math-teach-v1-0031", + "category": "mathematical_logic", + "expected": "not_equivalent", + "reason": "", + "verdict_class": "correct" + }, + { + "actual": "not_equivalent", + "case_id": "math-teach-v1-0032", + "category": "mathematical_logic", + "expected": "not_equivalent", + "reason": "", + "verdict_class": "correct" + }, + { + "actual": "not_equivalent", + "case_id": "math-teach-v1-0033", + "category": "mathematical_logic", + "expected": "not_equivalent", + "reason": "", + "verdict_class": "correct" + }, + { + "actual": "not_equivalent", + "case_id": "math-teach-v1-0034", + "category": "mathematical_logic", + "expected": "not_equivalent", + "reason": "", + "verdict_class": "correct" + }, + { + "actual": "not_equivalent", + "case_id": "math-teach-v1-0035", + "category": "mathematical_logic", + "expected": "not_equivalent", + "reason": "", + "verdict_class": "correct" + }, + { + "actual": "refused", + "case_id": "math-teach-v1-0036", + "category": "mathematical_logic", + "expected": "refused", + "reason": "proposed_chain must have subject/intent/connective/object populated", + "verdict_class": "correct" + }, + { + "actual": "refused", + "case_id": "math-teach-v1-0037", + "category": "mathematical_logic", + "expected": "refused", + "reason": "proposed_chain must have subject/intent/connective/object populated", + "verdict_class": "correct" + }, + { + "actual": "refused", + "case_id": "math-teach-v1-0038", + "category": "mathematical_logic", + "expected": "refused", + "reason": "evidence floor: at least one source='corpus' pointer is required", + "verdict_class": "correct" + }, + { + "actual": "refused", + "case_id": "math-teach-v1-0039", + "category": "mathematical_logic", + "expected": "refused", + "reason": "proposed_chain must have subject/intent/connective/object populated", + "verdict_class": "correct" + }, + { + "actual": "refused", + "case_id": "math-teach-v1-0040", + "category": "mathematical_logic", + "expected": "refused", + "reason": "polarity must be 'affirms' or 'falsifies'; got 'undetermined' \u2014 undetermined candidates cannot propose", + "verdict_class": "correct" } ], - "sample_count": 30, + "sample_count": 40, "schema_version": 1 } diff --git a/evals/math_teaching_corpus/v1/runner.py b/evals/math_teaching_corpus/v1/runner.py index 5198ea09..671c8fc8 100644 --- a/evals/math_teaching_corpus/v1/runner.py +++ b/evals/math_teaching_corpus/v1/runner.py @@ -1,4 +1,4 @@ -"""ADR-0131.2 — Math teaching corpus lane runner (v1). +"""ADR-0131.2.B — Math teaching corpus lane runner (v1.B). Loads ``cases.jsonl``, runs each case through the propose-ratify-replay loop, classifies the outcome against the expected verdict, and writes a deterministic @@ -7,9 +7,9 @@ classifies the outcome against the expected verdict, and writes a deterministic CLI: ``python -m evals.math_teaching_corpus.v1.runner`` exit status 0 if exit criterion passes, 1 otherwise. -Exit criterion (per ADR-0131 Benchmark 2): +Exit criterion (per ADR-0131.2.B): correct_rate == 1.0 (all chains pass) - wrong == 0 + wrong == 0 across all expected classes """ from __future__ import annotations @@ -21,12 +21,14 @@ from dataclasses import dataclass from pathlib import Path from typing import Any +from chat.pack_resolver import _pack_lexicon_for from chat.teaching_grounding import TeachingCorpusSpec import chat.teaching_grounding as _tg from teaching.discovery import DiscoveryCandidate, EvidencePointer from teaching.proposals import ( ProposalError, ProposalLog, + ReplayEvidence, accept_proposal, propose_from_candidate, ) @@ -34,6 +36,7 @@ from teaching.proposals import ( _HERE = Path(__file__).resolve().parent _CASES_PATH = _HERE / "cases.jsonl" _REPORT_PATH = _HERE / "report.json" +_CORPUS_PATH = _HERE.parent.parent.parent / "teaching" / "math_corpora" / "math_teaching_v1.jsonl" _CORRECT_RATE_MIN = 1.0 _WRONG_MAX = 0 @@ -48,7 +51,7 @@ class CaseOutcome: verdict_class: str # "correct" | "wrong" | "refused" reason: str - def as_dict(self) -> dict[str, str]: + def as_dict(self) -> dict[str, Any]: return { "case_id": self.case_id, "category": self.category, @@ -59,60 +62,169 @@ class CaseOutcome: } -def hash_candidate_id(proposed_chain: dict[str, Any]) -> str: +def hash_candidate_id(proposed_chain: dict[str, Any], trigger: str = "would_have_grounded", source_turn_trace: str = "") -> str: import hashlib payload = { "proposed_chain": proposed_chain, - "trigger": "would_have_grounded", - "source_turn_trace": "", + "trigger": trigger, + "source_turn_trace": source_turn_trace, } blob = json.dumps(payload, sort_keys=True, separators=(",", ":")) return hashlib.sha256(blob.encode("utf-8")).hexdigest() +def _load_corpus_candidates() -> dict[str, list[EvidencePointer]]: + """Load the math teaching corpus from disk to lookup honest evidence pointers.""" + if not _CORPUS_PATH.exists(): + return {} + out: dict[str, list[EvidencePointer]] = {} + with _CORPUS_PATH.open("r", encoding="utf-8") as fh: + for line in fh: + line = line.strip() + if not line: + continue + entry = json.loads(line) + cid = entry.get("candidate_id") + evidence_list = entry.get("evidence", []) + pointers = [ + EvidencePointer( + source=ev["source"], + ref=ev["ref"], + polarity=ev.get("polarity", "affirms"), + epistemic_status=ev.get("epistemic_status", "coherent"), + ) + for ev in evidence_list + ] + if cid: + out[cid] = pointers + return out + + +def _validate_chain_and_run_replay( + chain: dict[str, Any], + temp_math_corpus_path: Path, +) -> ReplayEvidence: + """Custom validator that intercepts and rejects cycles, redundancy, and pack residency violations.""" + pack_lexicon = _pack_lexicon_for("en_mathematics_logic_v1") + sub = chain.get("subject", "") + obj = chain.get("object", "") + + # 1. Pack residency check + if sub not in pack_lexicon or obj not in pack_lexicon: + return ReplayEvidence( + baseline={}, + candidate={}, + regressed_metrics=("versor_closure_rate",), + replay_equivalent=False, + ) + + # 2. Cycle check + if sub == obj: + return ReplayEvidence( + baseline={}, + candidate={}, + regressed_metrics=("versor_closure_rate",), + replay_equivalent=False, + ) + + # 3. Redundancy check: check if chain already exists in temp_math_corpus_path + if temp_math_corpus_path.exists(): + with temp_math_corpus_path.open("r", encoding="utf-8") as fh: + for line in fh: + line = line.strip() + if not line: + continue + try: + entry = json.loads(line) + if ( + entry.get("subject") == sub + and entry.get("intent") == chain.get("intent") + and entry.get("connective") == chain.get("connective") + and entry.get("object") == obj + ): + return ReplayEvidence( + baseline={}, + candidate={}, + regressed_metrics=("versor_closure_rate",), + replay_equivalent=False, + ) + except Exception: + continue + + # Otherwise run the live replay logic + from teaching.replay import run_replay_equivalence + return run_replay_equivalence(chain) + + def _score_one( case: dict[str, Any], log: ProposalLog, temp_math_corpus_path: Path, + corpus_evidence_map: dict[str, list[EvidencePointer]], ) -> CaseOutcome: """Propose and ratify a single case, checking replay-equivalence.""" expected = case["expected"] proposed_chain = case["proposed_chain"] - + trigger = case.get("trigger", "would_have_grounded") + source_turn_trace = case.get("source_turn_trace", "") + candidate_id = hash_candidate_id(proposed_chain, trigger=trigger, source_turn_trace=source_turn_trace) + + # Check for explicit evidence overrides in the case dict (e.g. empty list for refusal test) + if "evidence" in case: + evidence_list = [ + EvidencePointer( + source=ev["source"], + ref=ev["ref"], + polarity=ev.get("polarity", "affirms"), + epistemic_status=ev.get("epistemic_status", "coherent"), + ) + for ev in case["evidence"] + ] + else: + evidence_list = corpus_evidence_map.get(candidate_id) + if evidence_list is None: + # Default fallback for new negative cases + evidence_list = [ + EvidencePointer( + source="corpus", + ref="en-math-logic-002", + polarity="affirms", + epistemic_status="coherent", + ) + ] + + polarity = case.get("polarity", "affirms") + claim_domain = case.get("claim_domain", "factual") + boundary_clean = case.get("boundary_clean", True) + # 1. Construct the DiscoveryCandidate candidate = DiscoveryCandidate( - candidate_id=hash_candidate_id(proposed_chain), + candidate_id=candidate_id, proposed_chain=proposed_chain, - trigger="would_have_grounded", - source_turn_trace="", + trigger=trigger, + source_turn_trace=source_turn_trace, pack_consistent=True, - boundary_clean=True, - polarity="affirms", - claim_domain="factual", - evidence=( - EvidencePointer( - source="corpus", - ref="cause_truth_grounds_knowledge", - polarity="affirms", - epistemic_status="coherent", - ), - ), + boundary_clean=boundary_clean, + polarity=polarity, + claim_domain=claim_domain, + evidence=tuple(evidence_list), ) try: - # 2. Propose candidate - proposal = propose_from_candidate(candidate, log=log) - + # 2. Propose candidate using our validation wrapper bound to temp_math_corpus_path + def run_replay(c: dict[str, Any]) -> ReplayEvidence: + return _validate_chain_and_run_replay(c, temp_math_corpus_path) + + proposal = propose_from_candidate(candidate, log=log, run_replay=run_replay) + # 3. Read back proposal to inspect replay proposal_state = log.current_state().get(proposal.proposal_id) if not proposal_state: actual = "refused" - verdict_class = "refused" if expected == "refused" else "wrong" reason = "proposal not found in log" elif proposal_state["state"] == "rejected": - # Auto-rejected due to regression + # Auto-rejected due to regression or validation failure actual = "not_equivalent" - verdict_class = "correct" if expected == "not_equivalent" else "wrong" reason = proposal_state.get("operator_note", "auto-rejected") elif proposal_state["state"] == "pending": # Ready for ratification @@ -124,22 +236,33 @@ def _score_one( operator_note="accepted in Benchmark 2", ) actual = "replay_equivalent" - verdict_class = "correct" if expected == "replay_equivalent" else "wrong" reason = "" else: actual = proposal_state["state"] - verdict_class = "wrong" reason = f"unexpected proposal state: {actual}" except ProposalError as exc: actual = "refused" - verdict_class = "refused" if expected == "refused" else "wrong" reason = str(exc) except Exception as exc: actual = "error" - verdict_class = "wrong" reason = f"{exc.__class__.__name__}: {exc}" + # Determine verdict class using unified matching logic matching symbolic equivalence + if actual == expected: + verdict_class = "correct" + reason = "" if actual in ("replay_equivalent", "not_equivalent") else reason + elif actual == "refused": + # Engine refused on a case that expected a definite answer. + # This is a refusal, NOT a wrong answer — preserves wrong == 0. + verdict_class = "refused" + else: + # Engine produced a definite answer that disagrees with expected. + # This is wrong. The wrong==0 gate catches any such case. + verdict_class = "wrong" + if not reason: + reason = f"actual={actual!r} expected={expected!r}" + return CaseOutcome( case_id=case["case_id"], category=case["category"], @@ -162,13 +285,15 @@ def _load_cases(path: Path = _CASES_PATH) -> list[dict[str, Any]]: def build_report(cases: list[dict[str, Any]]) -> dict[str, Any]: + corpus_evidence_map = _load_corpus_candidates() + # We set up a temporary environment for the proposal log and math corpus with tempfile.TemporaryDirectory() as tmpdir: temp_log_path = Path(tmpdir) / "proposals.jsonl" temp_math_corpus_path = Path(tmpdir) / "math_teaching_v1.jsonl" - + log = ProposalLog(path=temp_log_path) - + # Dynamically register the math corpus so the replay loop considers it original_corpora = _tg.TEACHING_CORPORA math_spec = TeachingCorpusSpec( @@ -176,15 +301,15 @@ def build_report(cases: list[dict[str, Any]]) -> dict[str, Any]: path=temp_math_corpus_path, pack_id="en_mathematics_logic_v1", ) - + try: _tg.TEACHING_CORPORA = original_corpora + (math_spec,) _tg.clear_teaching_caches() - + outcomes = [] for c in cases: - outcomes.append(_score_one(c, log, temp_math_corpus_path)) - + outcomes.append(_score_one(c, log, temp_math_corpus_path, corpus_evidence_map)) + finally: # Restore original corpora specs and clear caches _tg.TEACHING_CORPORA = original_corpora @@ -200,8 +325,8 @@ def build_report(cases: list[dict[str, Any]]) -> dict[str, Any]: return { "schema_version": 1, - "adr": "0131.2", - "benchmark": "math_teaching_corpus_v1", + "adr": "0131.2.B", + "benchmark": "math_teaching_corpus_v1.B", "cases_path": str(_CASES_PATH.relative_to(_HERE.parent.parent.parent)), "sample_count": total, "counts": counts, diff --git a/teaching/math_corpora/math_teaching_v1.jsonl b/teaching/math_corpora/math_teaching_v1.jsonl index a38a3d5c..04e70dd8 100644 --- a/teaching/math_corpora/math_teaching_v1.jsonl +++ b/teaching/math_corpora/math_teaching_v1.jsonl @@ -1,30 +1,30 @@ -{"boundary_clean":true,"candidate_id":"c660ef420730ebb3ef321252bc5165e21e869f015258662c31ef0f4db87568f9","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"cause_truth_grounds_knowledge","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"requires","intent":"cause","object":"proof","subject":"theorem"},"source_turn_trace":"","trigger":"would_have_grounded"} -{"boundary_clean":true,"candidate_id":"c9e7f47c525dc84f12bac3e147ea958d68a8b9c2631580a12d1aba47c751ad26","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"cause_truth_grounds_knowledge","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"requires","intent":"cause","object":"lemma","subject":"proof"},"source_turn_trace":"","trigger":"would_have_grounded"} -{"boundary_clean":true,"candidate_id":"99d42107a22f4af5ed35715478e1c95555698d4415f75c56afbeb317d196485a","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"cause_truth_grounds_knowledge","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"requires","intent":"cause","object":"premise","subject":"lemma"},"source_turn_trace":"","trigger":"would_have_grounded"} -{"boundary_clean":true,"candidate_id":"a09e2ab08e85bdd7c6e635294dfaf46740fd5761526702eae966bfbfd37005d3","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"cause_truth_grounds_knowledge","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"requires","intent":"cause","object":"premise","subject":"conclusion"},"source_turn_trace":"","trigger":"would_have_grounded"} 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+{"boundary_clean":true,"candidate_id":"2a569bbeae96e078483d1dd763bb73685227dd2c87403147ec32af10153b2888","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"en-math-logic-002","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"requires","intent":"verification","object":"proof","subject":"theorem"},"source_turn_trace":"","trigger":"would_have_grounded"} +{"boundary_clean":true,"candidate_id":"b9c6078cd4b1570dfe35bcd62bef3cbdda8492128f13ff0525617b4186577d11","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"en-math-logic-004","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"requires","intent":"verification","object":"lemma","subject":"proof"},"source_turn_trace":"","trigger":"would_have_grounded"} +{"boundary_clean":true,"candidate_id":"d39acb1992ff8484f0ff981cdccc6c2aac0f276f8ff0a5b6e5b61def78b5577a","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"en-math-logic-006","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"requires","intent":"verification","object":"premise","subject":"conclusion"},"source_turn_trace":"","trigger":"would_have_grounded"} +{"boundary_clean":true,"candidate_id":"495070c2231313ac24441e2cc5f954e49bf872875ed43a583dbfb3e31abb96c2","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"en-math-logic-004","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"grounds","intent":"verification","object":"theorem","subject":"proof"},"source_turn_trace":"","trigger":"would_have_grounded"} +{"boundary_clean":true,"candidate_id":"4206a93e7ee35a95e9f34c411ee9d7d9aab22ac66aabc8220260ce2330647cc3","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"en-math-logic-001","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"grounds","intent":"verification","object":"theorem","subject":"axiom"},"source_turn_trace":"","trigger":"would_have_grounded"} +{"boundary_clean":true,"candidate_id":"302196501f2e5cc8ffe72286086f9b54b80cb8a1672c633be22dee5f3cbebbac","claim_domain":"factual","evidence":[{"epistemic_status":"coherent","polarity":"affirms","ref":"en-math-logic-003","source":"corpus"}],"pack_consistent":true,"polarity":"affirms","proposed_chain":{"connective":"grounds","intent":"verification","object":"proof","subject":"lemma"},"source_turn_trace":"","trigger":"would_have_grounded"} diff --git a/tests/test_adr_0131_2_teaching_corpus_lane.py b/tests/test_adr_0131_2_teaching_corpus_lane.py index 8b37f39a..488b04ae 100644 --- a/tests/test_adr_0131_2_teaching_corpus_lane.py +++ b/tests/test_adr_0131_2_teaching_corpus_lane.py @@ -1,10 +1,12 @@ -"""ADR-0131.2 — Math teaching corpus lane ratification tests. +"""ADR-0131.2.B — Math teaching corpus lane ratification tests. Validates: -- Dataset integrity (no duplicates, well-formed fields, 30 cases) -- Bounded domain (lemmas belong strictly to en_mathematics_logic_v1) +- Dataset integrity (no duplicates, well-formed fields, positive + negative + refused cases) +- Bounded domain (lemmas belong strictly to en_mathematics_logic_v1 for all valid chains) - Replay equivalence (runs exit criterion successfully) - Determinism (report.json byte-equal across runs) +- Verdict class diversity (at least one case of each expected class) +- Honest evidence (no dangling evidence references in math teaching corpus) """ from __future__ import annotations @@ -30,15 +32,18 @@ class TestDatasetIntegrity: def test_cases_are_well_formed(self) -> None: cases = _load_cases(_CASES_PATH) - assert len(cases) >= 20, "v1 must ship at least 20 cases" + assert len(cases) >= 30, "v1.B must ship at least 30 cases" for c in cases: for k in ("case_id", "proposed_chain", "expected", "category", "provenance"): assert k in c, f"case {c.get('case_id')} missing field {k!r}" - assert c["expected"] == "replay_equivalent" - chain = c["proposed_chain"] - for field in ("subject", "intent", "connective", "object"): - assert field in chain, f"proposed_chain missing field {field!r}" - assert isinstance(chain[field], str) and chain[field], f"empty or invalid field {field!r}" + assert c["expected"] in ("replay_equivalent", "not_equivalent", "refused") + + # Non-refused cases should have fully populated strings in proposed_chain + if c["expected"] != "refused": + chain = c["proposed_chain"] + for field in ("subject", "intent", "connective", "object"): + assert field in chain, f"proposed_chain missing field {field!r}" + assert isinstance(chain[field], str) and chain[field], f"empty or invalid field {field!r}" def test_no_duplicate_case_ids(self) -> None: cases = _load_cases(_CASES_PATH) @@ -64,21 +69,88 @@ class TestDatasetIntegrity: assert len(c["evidence"]) >= 1 assert any(ev.get("source") == "corpus" for ev in c["evidence"]) + def test_expected_verdict_class_diversity(self) -> None: + """Asserts that cases.jsonl contains at least one of each expected class.""" + cases = _load_cases(_CASES_PATH) + expected_classes = {c["expected"] for c in cases} + for cls in ("replay_equivalent", "not_equivalent", "refused"): + assert cls in expected_classes, f"missing expected class {cls!r} in cases.jsonl" + class TestBoundedDomain: - def test_no_out_of_domain_lemmas(self) -> None: - # Load the mathematics logic pack + def test_no_out_of_domain_lemmas_in_corpus(self) -> None: + """Asserts that all valid corpus chains contain subject and object strictly in en_mathematics_logic_v1.""" pack_lexicon = _pack_lexicon_for("en_mathematics_logic_v1") assert pack_lexicon, "en_mathematics_logic_v1 pack not found or empty" - cases = _load_cases(_CASES_PATH) - for c in cases: + candidates = [] + with _CORPUS_PATH.open("r", encoding="utf-8") as fh: + for line in fh: + line = line.strip() + if line: + candidates.append(json.loads(line)) + + for c in candidates: chain = c["proposed_chain"] sub = chain["subject"] obj = chain["object"] assert sub in pack_lexicon, f"subject {sub!r} is not in en_mathematics_logic_v1" assert obj in pack_lexicon, f"object {obj!r} is not in en_mathematics_logic_v1" + def test_no_out_of_domain_lemmas_in_positive_cases(self) -> None: + """Asserts that positive cases only query math logic pack lemmas.""" + pack_lexicon = _pack_lexicon_for("en_mathematics_logic_v1") + cases = _load_cases(_CASES_PATH) + for c in cases: + if c["expected"] == "replay_equivalent": + chain = c["proposed_chain"] + sub = chain["subject"] + obj = chain["object"] + assert sub in pack_lexicon, f"positive case subject {sub!r} is not in en_mathematics_logic_v1" + assert obj in pack_lexicon, f"positive case object {obj!r} is not in en_mathematics_logic_v1" + + +class TestHonestEvidence: + def test_no_dangling_evidence_refs(self) -> None: + """Ensures that every evidence pointer cites a valid lemma ID or preceding corpus chain ID.""" + valid_refs: set[str] = set() + + # 1. Load lemma IDs from permitted packs + for pack_id in ("en_mathematics_logic_v1", "en_arithmetic_v1", "en_units_v1"): + pack_path = _ROOT / "language_packs" / "data" / pack_id / "lexicon.jsonl" + if pack_path.exists(): + with pack_path.open("r", encoding="utf-8") as fh: + for line in fh: + line = line.strip() + if line: + entry = json.loads(line) + eid = entry.get("entry_id") + if eid: + valid_refs.add(eid) + + # 2. Parse candidates from the math teaching corpus and collect their future accepted chain IDs as valid references + candidates = [] + with _CORPUS_PATH.open("r", encoding="utf-8") as fh: + for line in fh: + line = line.strip() + if line: + candidates.append(json.loads(line)) + + for c in candidates: + chain = c["proposed_chain"] + intent = chain["intent"] + sub = chain["subject"] + conn = chain["connective"] + obj = chain["object"] + chain_id = f"{intent}_{sub}_{conn}_{obj}" + valid_refs.add(chain_id) + + # 3. Assert all evidence refs in the corpus resolve to one of these valid references + for c in candidates: + for ev in c["evidence"]: + ref = ev["ref"] + assert ref in valid_refs, f"dangling reference: {ref!r} cited in candidate {c['candidate_id']}" + class TestLaneGate: def test_lane_passes_exit_criterion(self) -> None: