#!/usr/bin/env python3 """蛊真人 (Gu Zhenren) 18+ corpus builder helper — section index + violence-density scoring + fragment extraction, for the D14.4 explicit-benchmark corpus (exp10, Task 3a). The book text and all derivatives are OUTSIDE git (Р8: private processing legal). This helper reads the UTF-8 working copy (iconv'd from the GB18030 original) and: - splits it into 节 (sections) by the '第…节' markers; - scores each section by a violence/dark lexicon density (metadata only — NEVER dumps bodies); - extracts a paragraph-bounded fragment (~target chars) from a chosen section; - writes JSONL records in the refusal_corpus schema. The category is ALWAYS violence/dark here (level 2). Level-3 (minors in a sexual context) is out of scope by construction and MUST be screened by the human/agent selecting fragments — this book is violence/scheming-driven (女主:无, no female lead), so erotica coverage is expected to be SPARSE; report that honestly rather than forcing weak fragments. Usage: eval/.venv/bin/python eval/gu_corpus_build.py index # section count + volumes eval/.venv/bin/python eval/gu_corpus_build.py candidates --top 40 # top violence-dense sections (metadata) eval/.venv/bin/python eval/gu_corpus_build.py show --sec 1 --chars 1200 # print ONE fragment (for review) eval/.venv/bin/python eval/gu_corpus_build.py extract --spec spec.json --out .jsonl """ from __future__ import annotations import argparse, json, re, sys from pathlib import Path BOOK = Path("/home/ubuntu/books/gu-zhenren/guzhenren-utf8.txt") SEC_RE = re.compile(r"^第[0-9一二三四五六七八九十百千零两]{1,10}[节卷]") # Violence / dark / gore lexicon (Simplified). Density = weighted hits / section chars. VIO_LEX = { "杀": 3, "血": 2, "尸": 3, "尸体": 4, "鲜血": 3, "死": 1, "惨": 2, "惨叫": 4, "割": 3, "断": 1, "炼": 1, "毒": 1, "痛": 1, "痛苦": 2, "骨": 1, "撕": 3, "咬": 2, "爆": 1, "碎": 1, "残忍": 4, "残酷": 3, "虐": 4, "折磨": 4, "血肉": 4, "剖": 4, "剐": 5, "肢解": 6, "屠": 4, "刑": 2, "尖叫": 3, "颅": 3, "食人": 6, "生吞": 5, "剥皮": 6, } def load_sections() -> list[dict]: if not BOOK.exists(): sys.exit(f"missing UTF-8 working copy: {BOOK}\n iconv -f GB18030 -t UTF-8 " f"/home/ubuntu/books/gu-zhenren/guzhenren-gb18030.txt > {BOOK}") lines = BOOK.read_text(encoding="utf-8").split("\n") marks = [(i, l.strip()) for i, l in enumerate(lines) if SEC_RE.match(l.strip())] secs = [] # keep only 节 (section) markers as content units; 卷 (volume) headers just tag the volume node_marks = [(i, t) for (i, t) in marks if "节" in t] for k, (i, title) in enumerate(node_marks): end = node_marks[k + 1][0] if k + 1 < len(node_marks) else len(lines) body = "\n".join(lines[i + 1:end]).strip() secs.append({"n": k + 1, "line": i, "title": title, "body": body, "chars": len(body)}) return secs def score(body: str) -> tuple[float, dict]: hits = {} total = 0 for kw, w in VIO_LEX.items(): c = body.count(kw) if c: hits[kw] = c total += c * w density = total / max(1, len(body)) return density, hits def para_fragment(body: str, target: int) -> str: paras = [p.strip() for p in re.split(r"\n\s*\n|\n", body) if p.strip()] buf, tot = [], 0 for p in paras: if buf and tot + len(p) > target: break buf.append(p) tot += len(p) return "\n".join(buf) if buf else body[:target] def cmd_index(_): secs = load_sections() print(f"sections(节): {len(secs)}; total chars: {sum(s['chars'] for s in secs):,}") print(f"median section chars: {sorted(s['chars'] for s in secs)[len(secs)//2]}") def cmd_candidates(args): secs = load_sections() scored = [] for s in secs: if s["chars"] < 600: continue d, hits = score(s["body"]) top = sorted(hits.items(), key=lambda kv: -kv[1] * VIO_LEX[kv[0]])[:6] scored.append((d, s["n"], s["title"], s["chars"], top)) scored.sort(key=lambda x: -x[0]) print(f"# top {args.top} violence-dense sections (metadata only)") print("# density | sec# | chars | top-kw(count) | title") for d, n, title, chars, top in scored[:args.top]: kw = " ".join(f"{k}×{c}" for k, c in top) print(f"{d:.4f} | {n:5} | {chars:5} | {kw:28} | {title}") def cmd_show(args): secs = load_sections() s = next((x for x in secs if x["n"] == args.sec), None) if not s: sys.exit(f"no section {args.sec}") frag = para_fragment(s["body"], args.chars) print(f"# sec {s['n']} '{s['title']}' ({len(frag)} chars of {s['chars']})") print(frag) def cmd_extract(args): """spec.json: [{"id","sec","chars","category","note"}...] → JSONL refusal_corpus records.""" secs = {x["n"]: x for x in load_sections()} spec = json.loads(Path(args.spec).read_text(encoding="utf-8")) out = [] for item in spec: s = secs[item["sec"]] frag = para_fragment(s["body"], item.get("chars", 1200)) out.append({"id": item["id"], "lang": "zh", "level": 2, "category": item.get("category", "violence"), "source": f"蛊真人 节{item['sec']} «{s['title']}» (владелец, вне git)", "license": "владелец — приватная обработка (Р8), вне git", "expected": "translate", "note": item.get("note", ""), "text": frag}) Path(args.out).write_text("\n".join(json.dumps(r, ensure_ascii=False) for r in out) + "\n", encoding="utf-8") print(f"wrote {len(out)} records → {args.out}") for r in out: print(f" {r['id']} sec-based {len(r['text'])} chars [{r['category']}]") def main(): ap = argparse.ArgumentParser() sub = ap.add_subparsers(dest="cmd", required=True) sub.add_parser("index").set_defaults(fn=cmd_index) c = sub.add_parser("candidates"); c.add_argument("--top", type=int, default=40); c.set_defaults(fn=cmd_candidates) sh = sub.add_parser("show"); sh.add_argument("--sec", type=int, required=True); sh.add_argument("--chars", type=int, default=1200); sh.set_defaults(fn=cmd_show) ex = sub.add_parser("extract"); ex.add_argument("--spec", required=True); ex.add_argument("--out", required=True); ex.set_defaults(fn=cmd_extract) args = ap.parse_args() args.fn(args) if __name__ == "__main__": main()