| """Integrate the self-licensed contemporary medical calendar notes into |
| polocrbench-train-pool-v1 (handwriting-mednotes source). |
| |
| License holder: Piotr Styła (declared CC BY 4.0, 2026-10-23). |
| Content: handwritten medical study/calendar notes (mostly page fragments |
| with cut edges). Transcriptions are AI pre-annotation with [ucięte] (cut), |
| [?], [skreślone] markers. Deterministic PII scan found no e-mail/phone/ |
| PESEL/account strings; lecturer surnames appear as professional references. |
| Content is study/training material with medical knowledge; no personal |
| health records. |
| """ |
| import collections |
| import hashlib |
| import json |
| import shutil |
| from pathlib import Path |
|
|
| BASE = Path('C:/Users/Hipek/OCR_external_data') |
| WORK = BASE / 'skany-jadwiga-work' |
| POOL = BASE / 'polocrbench-train-pool-v1' |
|
|
|
|
| def sha(data): |
| return hashlib.sha256(data).hexdigest() |
|
|
|
|
| def main(): |
| trans = {} |
| for line in (WORK / 'transcriptions.jsonl').read_text(encoding='utf-8').splitlines(): |
| row = json.loads(line) |
| trans[row['page_id']] = row['text'] |
| originals = {p.stem: sha(p.read_bytes()) for p in (WORK / 'originals').glob('*.jpg')} |
| assert len(trans) == 49 |
|
|
| rows = [] |
| for stem in sorted(trans): |
| src = WORK / 'pages' / f'{stem}.jpg' |
| pool_id = 'hwmed_' + stem.lower() |
| data = src.read_bytes() |
| shutil.copyfile(src, POOL / 'images' / f'{pool_id}.jpg') |
| rows.append({'id': pool_id, 'source': 'handwriting-mednotes', |
| 'source_ref': 'self-licensed medical calendar notes ' |
| '(license holder: Piotr Styła, CC BY 4.0, 2026-10-23)', |
| 'image': f'images/{pool_id}.jpg', 'image_sha256': sha(data), |
| 'text': trans[stem], 'text_sha256': sha(trans[stem].encode()), |
| 'width': 700, 'height': 1000, 'split': 'train', |
| 'license': 'cc-by-4.0', 'human_verified': False, 'gold': False, |
| 'page_fragment': True, |
| 'original_image_sha256': originals.get(stem), |
| 'transcription': 'ai-preannotation-cut-markers'}) |
|
|
| manifest_path = POOL / 'manifest.jsonl' |
| existing = manifest_path.read_text(encoding='utf-8') |
| manifest_path.write_text(existing + ''.join( |
| json.dumps(r, ensure_ascii=False) + '\n' for r in rows), encoding='utf-8') |
|
|
| report = json.loads((POOL / 'report.json').read_text(encoding='utf-8')) |
| all_rows = [json.loads(s) for s in manifest_path.read_text(encoding='utf-8').splitlines()] |
| report['schema'] = 'polocrbench-train-pool-v1.4' |
| report['pages'] = len(all_rows) |
| report['by_source'] = dict(collections.Counter(r['source'] for r in all_rows)) |
| report['by_split'] = dict(collections.Counter(r['split'] for r in all_rows)) |
| report['handwriting_mednotes_pages'] = len(rows) |
| report['handwriting_mednotes_license'] = 'CC BY 4.0 (license holder: Piotr Styła)' |
| report['handwriting_mednotes_content'] = 'study/training notes with medical knowledge (dosage schedules, disease patterns as taught); no personal health records; mostly page fragments with cut edges' |
| report['licenses']['handwriting-mednotes'] = 'CC BY 4.0 (license holder: Piotr Styła)' |
| (POOL / 'report.json').write_text(json.dumps(report, ensure_ascii=False, indent=2), |
| encoding='utf-8') |
|
|
| sums = {p.relative_to(POOL).as_posix(): sha(p.read_bytes()) |
| for p in sorted(POOL.rglob('*')) if p.is_file() and p.name != 'checksums.json'} |
| (POOL / 'checksums.json').write_text(json.dumps(sums, indent=2), encoding='utf-8') |
| print(json.dumps({'mednotes_rows': len(rows), 'pool_pages': len(all_rows), |
| 'by_source': report['by_source'], 'checksum_entries': len(sums)}, |
| ensure_ascii=False, indent=2)) |
|
|
|
|
| if __name__ == '__main__': |
| main() |
|
|
