Datasets:
Download scripts/deduplicate.py from ulamai/UnsolvedMedical: direct link, hf CLI and curl.
- Browser
- Download file 2.96 kB
-
https://huggingface.co/datasets/ulamai/UnsolvedMedical/resolve/main/scripts/deduplicate.py
- Command line
-
hf download hf://datasets/ulamai/UnsolvedMedical/scripts/deduplicate.py
-
curl -L -o deduplicate.py https://huggingface.co/datasets/ulamai/UnsolvedMedical/resolve/main/scripts/deduplicate.py
2.96 kB
| #!/usr/bin/env python3 | |
| """ | |
| Deduplication and semantic signature verification script for UnsolvedMed (Section 10 & Gate 15). | |
| Verifies: | |
| 1. Zero duplicate normalized titles across all published records. | |
| 2. Zero duplicate normalized canonical statements across all published records. | |
| 3. Zero duplicate origin_source_id across all published records (strict 1-to-1 primary literature paper mapping). | |
| 4. All 15 archived DUPLICATE calibration records have valid `duplicate_of` | |
| targets pointing to published canonical records and `status = 'merged'`. | |
| """ | |
| import json | |
| import re | |
| import sys | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parent.parent | |
| def norm(s: str) -> str: | |
| return re.sub(r"[^a-z0-9]+", " ", s.lower()).strip() | |
| def main() -> int: | |
| published = json.loads((ROOT / "problems.json").read_text(encoding="utf-8")) | |
| archived = [ | |
| json.loads(line) | |
| for line in (ROOT / "data" / "archived" / "problems.jsonl").open("r", encoding="utf-8") | |
| if line.strip() | |
| ] | |
| archived_dups = [r for r in archived if r["publication_class"] == "DUPLICATE"] | |
| published_ids = {r["id"] for r in published} | |
| seen_titles = {} | |
| seen_stmts = {} | |
| seen_origins = {} | |
| errors = [] | |
| for r in published: | |
| t = norm(r["title"]) | |
| s = norm(r["statement"]) | |
| if t in seen_titles: | |
| errors.append(f"Duplicate normalized title between {r['id']} and {seen_titles[t]}") | |
| else: | |
| seen_titles[t] = r["id"] | |
| if s in seen_stmts: | |
| errors.append(f"Duplicate normalized statement between {r['id']} and {seen_stmts[s]}") | |
| else: | |
| seen_stmts[s] = r["id"] | |
| origin_sid = next((ss["source_id"] for ss in r["source_support"] if ss["role"] == "problem_origin"), None) | |
| if origin_sid in seen_origins: | |
| errors.append(f"Duplicate problem_origin source {origin_sid} between {r['id']} and {seen_origins[origin_sid]}") | |
| else: | |
| seen_origins[origin_sid] = r["id"] | |
| if len(archived_dups) != 15: | |
| errors.append(f"Expected 15 archived DUPLICATE records, found {len(archived_dups)}") | |
| for d in archived_dups: | |
| if d["status"] != "merged" or d["rejection_code"] != "R_DUPLICATE": | |
| errors.append(f"Archived duplicate {d['id']} has invalid status/rejection_code") | |
| if d.get("duplicate_of") not in published_ids: | |
| errors.append(f"Archived duplicate {d['id']} points to missing canonical target {d.get('duplicate_of')}") | |
| if errors: | |
| print(f"DEDUPLICATION CHECK FAILED ({len(errors)} errors):") | |
| for e in errors[:20]: | |
| print(" -", e) | |
| return 1 | |
| print( | |
| f"DEDUPLICATION CHECK PASSED: {len(published):,} unique published titles, statements & origin papers, " | |
| f"0 unmerged duplicates, and {len(archived_dups)} verified merged duplicate audit records." | |
| ) | |
| return 0 | |
| if __name__ == "__main__": | |
| sys.exit(main()) | |