"""anchor_gate.py RETRIEVAL.jsonl BASE.graded.jsonl ENGRAM.graded.jsonl (10-28) - offline estimate of an entity-anchor injection gate (research/health.md near-miss fix): inject retrieved passages only if they contain a rare anchor from the question (quoted strings, acronyms, identifiers with digits / _ / . / ::, capitalised names that are not sentence-initial common words); otherwise answer closed-book. Estimate: where the gate would inject, the outcome is the engram arm's graded answer; where it would block, the closed-book arm's. (Exact only when every passage passes; a real run injects just the passing passages.) Prints per-domain index for base / engram / gated under several gate strictnesses, so the rule can be picked before spending GPU time. Also importable: anchors(q).""" import sys, re, json, collections STOP = set("""a an the of in on at to for from by with and or but not is are was were be been what which who whom whose when where why how this that these those it its as into than then there their they he she his her i we you your our under over between during after before according first second third name give state list identify provide answer exact specific approximately using use based per""".split()) def anchors(q): out = set() out |= {m.strip() for m in re.findall(r"[\"“'‘`]([^\"”'’`]{3,80})[\"”'’`]", q)} out |= set(re.findall(r"\b[A-Z][A-Z0-9]{1,}(?:[-/][A-Z0-9]+)*\b", q)) # acronyms, codes: ICML, HQLA, E0277 out |= set(re.findall(r"\b[\w]+(?:[_.:/§-][\w]+)+\b", q)) # json_encode, 2015/35, 10b-5, std::move for m in re.finditer(r"(?:(?<=[^.?!]\s)|(?<=^))((?:[A-Z][a-z][\w'-]*)(?:\s+(?:of|de|von|van|der|la|the)?\s*[A-Z][\w'-]+)*)", q): w = m.group(1).strip() if m.start(1) == 0 and len(w.split()) == 1: continue # sentence-initial single word if w.lower() not in STOP and len(w) > 3: out.add(w) return {a for a in out if not re.fullmatch(r"\d{1,4}", a) and a.lower() not in STOP} norm = lambda s: re.sub(r"\s+", " ", re.sub(r"[^\w§/.:-]+", " ", s.lower())).strip() def passes(q, hit, need=1): A = [norm(a) for a in anchors(q)]; t = " " + norm(hit["title"] + " " + hit["text"]) + " " return sum(1 for a in A if a and a in t) >= min(need, len(A)) if A else False if __name__ == "__main__": R = {d["id"]: d["hits"] for d in map(json.loads, open(sys.argv[1]))} L = lambda p: {d["id"]: d for d in map(json.loads, open(p))} B, V = L(sys.argv[2]), L(sys.argv[3]); k = next(x for x in next(iter(B.values())) if "grade" in x.lower()) s = lambda g: {"CORRECT": 1, "INCORRECT": -1}.get(str(g).upper(), 0) rules = {"any passage, 1 anchor": lambda q, h: any(passes(q, x, 1) for x in h[:3]), "any passage, 2 anchors": lambda q, h: any(passes(q, x, 2) for x in h[:3]), "top passage, 1 anchor": lambda q, h: bool(h) and passes(q, h[0], 1)} for name, rule in rules.items(): D = collections.defaultdict(lambda: [0, 0, 0, 0, 0]) for i in B: if i not in V: continue q = B[i]["q"]; inj = rule(q, R.get(i, [])); r = D[B[i]["domain"][:22]] r[0] += 1; r[1] += s(B[i][k]); r[2] += s(V[i][k]); r[3] += s(V[i][k]) if inj else s(B[i][k]); r[4] += inj print(f"== {name}") tot = [0] * 5 for d, r in sorted(D.items()): tot = [a + b for a, b in zip(tot, r)] print(f" {d:22s} n={r[0]:3d} base {100 * r[1] / r[0]:6.1f} engram {100 * r[2] / r[0]:6.1f} gated {100 * r[3] / r[0]:6.1f} (injects {r[4]})") print(f" {'all':22s} n={tot[0]:3d} base {100 * tot[1] / tot[0]:6.1f} engram {100 * tot[2] / tot[0]:6.1f} gated {100 * tot[3] / tot[0]:6.1f} (injects {tot[4]})")