"""Document-level curation; no language-model inference or invented OCR corrections.""" from __future__ import annotations from collections import defaultdict, deque import hashlib import json from pathlib import Path import re from urllib.parse import urlparse POLICY = Path(__file__).with_name("technical_mega_curation_policy.json") def load_metadata(root: Path) -> dict[str, list[dict]]: paths = [root / "polish_cnc_technical_dynaword/provenance" / name for name in ( "full_source_records.jsonl", "augmentation_bcpw_records.jsonl", "augmentation_zpe_records.jsonl", "augmentation_rock_records.jsonl", )] paths += [root / folder / "provenance/articles.jsonl" for folder in ( "polish_industrial_maintenance_dynaword", "polish_automation_control_dynaword", "polish_engineering_new_dynaword", )] paths.append(root / "zpe_cnc_pl_dynaword/provenance/records.jsonl") paths += sorted((root / "polish_source_subset/data").glob("*/*.attribution.jsonl")) result: dict[str, list[dict]] = defaultdict(list) for path in paths: for line in path.read_text(encoding="utf-8-sig").splitlines(): if line.strip(): metadata = json.loads(line) if metadata not in result[metadata["id"]]: result[metadata["id"]].append(metadata) return dict(result) def group_keys(record: dict, metadata: list[dict]) -> list[str]: """Aliases join shared PDFs, book chapters and alternate source namespaces.""" source, identity = record["source"], record["id"] keys = set() for item in metadata: if source.startswith("bibliotekanauki-"): article = str(item["article_id"]) keys.add("bibliotekanauki:" + article) elif source == "wikibooks": keys.add("wikibooks:" + item["title"].split("/", 1)[0]) elif source == "open_agh_chemistry_pl": keys.update("agh-book:" + str(book["book_id"]) for book in item["memberships"]) elif source in ("rock_pollub_pl", "rock-pollub-open"): handle = item["handle"].removeprefix("https://hdl.handle.net/").strip("/") keys.add("rock-book:" + handle) elif source == "open_icm_pl": keys.add("icm-book:" + item["handle"].removeprefix("https://hdl.handle.net/").strip("/")) elif source == "bcpw-public-domain": keys.add("bcpw-book:" + " ".join(item["title"].split()).casefold()) elif source == "wikisource-maszynisci-1873": keys.add("wikisource-book:maszynisci-1873") elif source == "zpe-cnc-pl": page = urlparse(item["url"]).path.rstrip("/").rsplit("/", 1)[-1] if not re.fullmatch(r"D[A-Za-z0-9]+", page): raise ValueError(f"Unreviewed ZPE page identity: {identity}: {page}") keys.add("zpe-page:" + page) else: raise ValueError(f"Unreviewed source family: {source}") for digest in (item.get("pdf_sha256"), item.get("payload_sha256"), (item.get("pdf") or {}).get("sha256")): if digest: if not re.fullmatch(r"[0-9a-f]{64}", digest): raise ValueError(f"Invalid PDF checksum: {identity}") keys.add("pdf:" + digest) if not keys: raise ValueError(f"Missing document/book attribution: {identity}") return sorted(keys) def exclusion_reasons(record: dict, metadata: list[dict], policy: dict) -> list[str]: source = record["source"] reasons = set() if source == "wikibooks": for item in metadata: book = item["title"].split("/", 1)[0] decision = policy["wikibooks_books"][book] # Unknown books require review. if not decision["include"]: reasons.add("outside_selected_book_scope") if source == "open_icm_pl" and record["id"] not in policy["open_icm_include_ids"]: reasons.add("outside_selected_book_scope") if source in ("bcpw-public-domain", "wikisource-maszynisci-1873"): reasons.add("historical_technical_archive_not_current_training") if source.startswith("bibliotekanauki-"): for item in metadata: reviewed = policy["reviewed_damaged_articles"].get(str(item["article_id"])) if reviewed: if item["pdf_sha256"] != reviewed["pdf_sha256"]: raise ValueError("Reviewed damaged PDF changed; a new review is required") reasons.add("verified_unreliable_pdf_text_layout") return sorted(reasons) def assign_groups(records: list[dict], metadata: dict[str, list[dict]], policy: dict) -> None: parents: dict[str, str] = {} def find(key: str) -> str: parents.setdefault(key, key) root = key while parents[root] != root: root = parents[root] while parents[key] != key: next_key = parents[key] parents[key] = root key = next_key return root for record in records: identities = [record, *record.get("_aliases", [])] keys = sorted({key for identity in identities for key in group_keys(identity, metadata[identity["id"]])}) root = find(keys[0]) for key in keys[1:]: other = find(key) if other != root: low, high = sorted((root, other)) parents[high] = low root = low record["_group_keys"] = keys record["_exclusion_reasons"] = sorted({ reason for identity in identities for reason in exclusion_reasons(identity, metadata[identity["id"]], policy) }) group_reasons: dict[str, set[str]] = defaultdict(set) for record in records: record["_group_id"] = find(record["_group_keys"][0]) group_reasons[record["_group_id"]].update(record["_exclusion_reasons"]) for record in records: record["_exclusion_reasons"] = sorted(group_reasons[record["_group_id"]]) record["_split"] = "quarantine" if record["_exclusion_reasons"] else split_for(record["_group_id"]) def split_for(group: str) -> str: # Preserve the original article-ID split algorithm for unaliased Biblioteka articles. seed = group.removeprefix("bibliotekanauki:") if group.startswith("bibliotekanauki:") else group bucket = int(hashlib.sha256(seed.encode("utf-8")).hexdigest()[:8], 16) % 100 return "test" if bucket < 5 else "valid" if bucket < 10 else "train" def balanced_samples(records: list[dict], limit: int = 32) -> list[dict]: """Round robin across source families; distinct books/documents first.""" buckets: dict[str, list[dict]] = defaultdict(list) for record in sorted(records, key=lambda row: hashlib.sha256(row["id"].encode()).hexdigest()): buckets[record["source"]].append(record) queues = {} for source, rows in sorted(buckets.items()): seen = set() first, rest = [], [] for row in rows: (rest if row["_group_id"] in seen else first).append(row) seen.add(row["_group_id"]) queues[source] = deque(first + rest) sample = [] while len(sample) < limit and any(queues.values()): for queue in queues.values(): if queue and len(sample) < limit: sample.append(queue.popleft()) return sample