Datasets:
Download src/audit_studia_bas.py from SlayerLab/polish-dynaword: direct link, hf CLI and curl.
- Browser
- Download file 2.88 kB
-
https://huggingface.co/datasets/SlayerLab/polish-dynaword/resolve/64b093f7349138bea9ef5978c27c544d6ec25e76/src/audit_studia_bas.py
- Command line
-
hf download hf://datasets/SlayerLab/polish-dynaword@64b093f7349138bea9ef5978c27c544d6ec25e76/src/audit_studia_bas.py
-
curl -L -o audit_studia_bas.py https://huggingface.co/datasets/SlayerLab/polish-dynaword/resolve/64b093f7349138bea9ef5978c27c544d6ec25e76/src/audit_studia_bas.py
2.88 kB
| import json | |
| import re | |
| from pathlib import Path | |
| from typing import Dict, Any, List | |
| EMAIL_RE = re.compile(r"(?i)[a-z0-9._%+-]+\s*@\s*[a-z0-9.-]+\s*\.\s*[a-z]{2,}") | |
| ORCID_RE = re.compile(r"(?i)\b(?:0\s*0\s*0\s*[0-3])\s*-\s*(?:\d\s*){4}\s*-\s*(?:\d\s*){4}\s*-\s*(?:\d\s*){3}[\dX]\b") | |
| PHONE_RE = re.compile(r"(?i)\btel\.?\s*:?\s*(?:\d\s*){9,}") | |
| PESEL_RE = re.compile(r"(?i)\bpesel\b\s*:?\s*(?:\d[\s-]*){11}\b") | |
| NIP_RE = re.compile(r"(?i)\bnip\b\s*:?\s*(?:\d[\s-]*){10}\b") | |
| REGON_RE = re.compile(r"(?i)\bregon\b\s*:?\s*(?:(?:\d[\s-]*){9}|(?:\d[\s-]*){14})\b") | |
| AFFILIATION_RE = re.compile(r"(?i)\b(uniwersytet|wydział|instytut|katedra|mgr inż|dr hab|prof\.)\b") | |
| NAV_HEADER_RE = re.compile(r"(?i)\bstudia bas\b|\bnr \d+\(\d+\)") | |
| HYPHEN_RE = re.compile(r"\b\w+-\s+[a-ząćęłńóśźż]\w+\b") | |
| REQUIRED_KEYS = {"id", "text", "source", "created", "license", "author", "doi", "source_url", "issue_url", "issue", "license_url"} | |
| def get_context(text, match): | |
| if not match: return "" | |
| s = max(0, match.start() - 40) | |
| e = min(len(text), match.end() + 40) | |
| snippet = text[s:e] | |
| redacted = snippet[:match.start()-s] + "[REDACTED]" + snippet[match.end()-s:] | |
| return redacted.replace('\n', ' ') | |
| def audit_record(record: Dict[str, Any], seen_ids: set, seen_texts: set) -> Dict[str, List[str]]: | |
| issues = {} | |
| text = record.get("text", "") | |
| author = record.get("author", "") | |
| doc_id = record.get("id", "") | |
| # Missing metadata | |
| if not all(k in record for k in REQUIRED_KEYS): | |
| issues["malformed_metadata"] = ["Missing keys"] | |
| if not author.strip(): | |
| issues["empty_author"] = ["Empty author field"] | |
| if doc_id in seen_ids: | |
| issues["duplicate_id"] = [f"ID: {doc_id}"] | |
| seen_ids.add(doc_id) | |
| if text in seen_texts: | |
| issues["duplicate_text"] = ["Duplicate text block"] | |
| seen_texts.add(text) | |
| for issue_name, regex in [ | |
| ("residual_email", EMAIL_RE), | |
| ("orcid_found", ORCID_RE), | |
| ("phone_number", PHONE_RE), | |
| ("pesel", PESEL_RE), | |
| ("nip", NIP_RE), | |
| ("regon", REGON_RE), | |
| ("affiliation_block", AFFILIATION_RE), | |
| ("navigation_header", NAV_HEADER_RE), | |
| ("suspicious_hyphenation", HYPHEN_RE), | |
| ]: | |
| matches = list(regex.finditer(text)) | |
| if matches: | |
| issues[issue_name] = [get_context(text, m) for m in matches[:2]] | |
| return issues | |
| def audit_corpus(path: Path) -> Dict[str, Dict[str, List[str]]]: | |
| results = {} | |
| seen_ids = set() | |
| seen_texts = set() | |
| with open(path, 'r', encoding='utf-8') as f: | |
| for line in f: | |
| if not line.strip(): | |
| continue | |
| record = json.loads(line) | |
| doc_id = record.get("id", "UNKNOWN") | |
| issues = audit_record(record, seen_ids, seen_texts) | |
| if issues: | |
| results[doc_id] = issues | |
| return results | |