bird_mini_dev / baseline_inference /validate_baseline_inference.py
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Release reviewed Mini-Dev update with archived 2025 annotations and baseline inputs
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"""Validate all 1,500 fixed prompts offline, without auxiliary manifests."""
from __future__ import annotations
import hashlib
import json
from pathlib import Path
FOLDER = Path(__file__).resolve().parent
ROOT = FOLDER.parent
CORE_FIELDS = ('question_id', 'db_id', 'question', 'evidence', 'SQL', 'difficulty')
ENGINE_NAMES = {'sqlite': 'SQLite', 'mysql': 'MySQL', 'postgresql': 'PostgreSQL'}
TEMPLATE_SHA256 = '62b75a140957583fb04f9cfa8962f704332f3e3cb437ddd2784783e9ee7b176a'
SCHEMA_SHA256 = {
'sqlite': '5176e324a72e80a8a37a12285596d123e0ba6c310dceaa9f13a1e413ee88ff5b',
'mysql': '5b02cc1dcef5d505687ed5e02964fe6c7708aa755e9abc70a17a1243f858e0ce',
'postgresql': '32b57c6e29601c6b6da629f38472c63b057279a14c4bb2678a20d4663a1d0799',
}
OUTPUT_SHA256 = {
'sqlite': 'b060ee9cb69be62a052f5e40367afeb2cf08f345f15ca318fd9a0f9bf52d53ef',
'mysql': '0c40ce1a936f5348a4f30dc4c8f409bb811ab2c166f92434a4d7e4569271efc4',
'postgresql': 'f745c324fe3ddc6d1f683d9713e9afe480addf59d71e413dfbccc1333eb11dab',
}
def require(condition: bool, message: str) -> None:
if not condition:
raise ValueError(message)
def digest(data: bytes) -> str:
return hashlib.sha256(data).hexdigest()
def records(path: Path) -> list[dict]:
rows = [json.loads(line) for line in path.read_text(encoding='utf-8').splitlines()]
require(len(rows) == 500 and [r['question_id'] for r in rows] == list(range(500)),
f'Expected exactly 500 ordered IDs 0–499: {path.name}')
return rows
def main() -> None:
template = (FOLDER / 'prompt_template.txt').read_text(encoding='utf-8')
require(digest(template.encode()) == TEMPLATE_SHA256, 'Prompt template hash mismatch')
non_sql = None
for dialect, engine in ENGINE_NAMES.items():
source = records(ROOT / 'data' / f'mini_dev_{dialect}.jsonl')
output = FOLDER / f'mini_dev_{dialect}.jsonl'
require(digest(output.read_bytes()) == OUTPUT_SHA256[dialect], f'Input hash mismatch: {dialect}')
rows = records(output)
schema_bytes = (FOLDER / 'schemas' / f'{dialect}.json').read_bytes()
require(digest(schema_bytes) == SCHEMA_SHA256[dialect], f'Schema hash mismatch: {dialect}')
schemas = json.loads(schema_bytes)
require(len(schemas) == 11 and set(schemas) == {r['db_id'] for r in source},
f'Incomplete schema coverage: {dialect}')
annotations = [{k: r[k] for k in CORE_FIELDS if k != 'SQL'} for r in source]
if non_sql is None:
non_sql = annotations
require(annotations == non_sql, f'Non-SQL annotations differ: {dialect}')
for gold, row in zip(source, rows, strict=True):
require(set(gold) == set(CORE_FIELDS), f'Unexpected annotation fields: {dialect}')
require(set(row) == set(CORE_FIELDS) | {'dialect', 'prompt'},
f'Unexpected input fields: {dialect}')
require({k: row[k] for k in CORE_FIELDS} == gold and row['dialect'] == dialect,
f'Annotation mismatch: {dialect}/{gold["question_id"]}')
block = (gold['evidence'] + '\n' if gold['evidence'] else '') + gold['question']
# Gold SQL is deliberately not supplied to the prompt template.
expected = template.format(engine=engine, schema=schemas[gold['db_id']], question_block=block)
require(row['prompt'] == expected, f'Prompt mismatch: {dialect}/{gold["question_id"]}')
question_block = row['prompt'].split('Question:\n', 1)[1].split('\n\nInstructions:\n', 1)[0]
require(question_block == block, f'Question/evidence mismatch: {dialect}/{gold["question_id"]}')
print(f'{dialect}: all 500 annotation rows, prompts and 11 schema texts passed')
print('Total: 1,500 aligned inputs. No database writes or model calls performed.')
if __name__ == '__main__':
main()