| |
| """Append a frozen, sourced 16-question supplement to unchanged v6.1.""" |
| import hashlib |
| import json |
| import unicodedata |
| from collections import Counter |
| from pathlib import Path |
|
|
| ROOT = Path(__file__).resolve().parents[1] |
| BASE_SHA = '233c03f9ae542404494f049a3a12886663706aabb6e616d8de44dc0503dab566' |
|
|
| def sha(data): |
| return hashlib.sha256(data).hexdigest() |
|
|
| def build(): |
| base = ROOT / 'data/v6.1/test.jsonl' |
| assert sha(base.read_bytes()) == BASE_SHA |
| rows = [json.loads(s) for s in base.read_text().splitlines()] |
| extra = ROOT / 'source/v6.2-additions.jsonl' |
| source = [json.loads(s) for s in extra.read_text().splitlines()] |
| assert len(source) == 16 |
| audit = [] |
| for line, item in enumerate(source, 1): |
| question = unicodedata.normalize('NFC', item['question']).strip() |
| qid = 'aussieqa-' + sha(question.encode())[:20] |
| rows.append({'id': qid, 'question': question, 'answers': [item['answer']]}) |
| audit.append({'id': qid, 'source_version': '6.2-additions', 'source_line': line, |
| 'topic': item['topic'], 'difficulty_estimate': item['difficulty_estimate'], |
| 'source_url': item['source_url'], 'author': 'OpenAI Codex assistant', |
| 'authored_date': '2026-10-14', 'answer_source_checked_date': '2026-10-14', |
| 'selection': 'Fixed before either evaluated model answered these additions; no performance-based item selection'}) |
| assert len(rows) == len({r['id'] for r in rows}) == len({r['question'].casefold() for r in rows}) == 1000 |
| for path, data in [('data/v6.2/test.jsonl', rows), ('metadata/v6.2/additions.jsonl', audit)]: |
| p = ROOT / path |
| p.parent.mkdir(parents=True, exist_ok=True) |
| p.write_text(''.join(json.dumps(r, ensure_ascii=False, separators=(',', ':'))+'\n' for r in data)) |
| assert (ROOT/'data/v6.2/test.jsonl').read_bytes().startswith(base.read_bytes()) |
| manifest = {'dataset': 'Aussie-1k', 'version': '6.2', 'release_date': '2026-10-14', |
| 'base_version': '6.1', 'unchanged_base_questions': 984, 'new_questions': 16, |
| 'test_records': 1000, 'reference_answers': sum(len(r['answers']) for r in rows), |
| 'answer_count_distribution': dict(Counter(len(r['answers']) for r in rows)), |
| 'addition_topic_counts': dict(Counter(r['topic'] for r in source)), |
| 'addition_difficulty_estimates': dict(sorted(Counter(r['difficulty_estimate'] for r in source).items())), |
| 'sampling_rationale': 'Near-even supplement across six existing coverage areas (3/3/3/3/2/2); no measured source topic proportions exist. Difficulty estimates 2/7/6/1 at levels 1/2/3/4 approximately match rounded source proportions. Estimates are editorial, not empirical.', |
| 'duplicate_review': 'Exact and case-insensitive uniqueness checked; existing questions inspected for each new subject/entity. No claim of exhaustive semantic deduplication.', |
| 'ordering': 'Unchanged v6.1 questions followed by 16 additions in frozen source order', |
| 'files': {}} |
| for name in ['data/v6.1/test.jsonl','source/v6.2-additions.jsonl','data/v6.2/test.jsonl','metadata/v6.2/additions.jsonl']: |
| b=(ROOT/name).read_bytes();manifest['files'][name]={'sha256':sha(b),'bytes':len(b)} |
| (ROOT/'metadata/v6.2/manifest.json').write_text(json.dumps(manifest,indent=2)+'\n') |
| print(json.dumps(manifest,indent=2)) |
|
|
| if __name__ == '__main__': |
| build() |
|
|
