Datasets:

HiTZ
/

critics_science_mt_benchmark

#!/usr/bin/env python3
"""Independent, read-only verification of generated CRITICS canonical and HF pair files.
Returns nonzero on errors. Writes JSON and optionally text reports under data/reports.
Never builds/replaces benchmark data; detects stale files and cross-view divergence.
"""
import argparse
from collections import Counter
from datetime import date
import hashlib
import json
from pathlib import Path
import re
import sys

LANGUAGES = ('es', 'eu')
EXPECTED_TOPICS = ('artificial_intelligence', 'biology', 'chemistry', 'mathematics', 'physics')


def read_jsonl(path, errors):
    if not path.is_file():
        errors.append(f'Missing required file: {path}')
        return []
    records = []
    for line_no, line in enumerate(path.read_text(encoding='utf-8').splitlines(), 1):
        if not line.strip():
            errors.append(f'{path}:{line_no}: blank JSONL line')
            continue
        try:
            entry = json.loads(line)
        except json.JSONDecodeError as ex:
            errors.append(f'{path}:{line_no}: JSON parse error: {ex}')
            continue
        if not isinstance(entry, dict):
            errors.append(f'{path}:{line_no}: expected an object')
        else:
            records.append(entry)
    return records


def index_rows(rows, label, errors):
    indexed = {}
    for pos, row in enumerate(rows, 1):
        identifier = row.get('id')
        if not isinstance(identifier, str) or not identifier:
            errors.append(f'{label} record {pos}: missing/non-string id')
        elif identifier in indexed:
            errors.append(f'{label}: duplicate id {identifier}')
        else:
            indexed[identifier] = row
    return indexed


def expected_pair(row, lang):
    src = row['source']
    translation = row['translations'][lang]
    pe = translation['post_edit']
    meta = translation['mt']['metadata']
    return {
        'id': row['id'],
        'batch_id': row['batch_id'],
        'topic': src['topic'],
        'repository': src['repository'],
        'source_document_key': src['source_document_key'],
        'source_text': src['text'],
        'source_sha256': src['source_sha256'],
        'target_lang': lang,
        'mt_text': translation['mt']['text'],
        'reference_text': pe['text'] if pe is not None else None,
        'reference_status': 'pending' if pe is None else 'human_post_edited',
        'mt_system': meta['system'],
        'mt_prompt_version': meta['prompt_version'],
    }


def validate(data_dir, schema_path, config_path, strict_complete=False):
    errors, warnings = [], []
    report = {
        'validator': 'independent_cross_representation_v1',
        'purpose': 'evaluation_only',
        'schema_path': str(schema_path),
        'config_path': str(config_path),
    }
    try:
        from jsonschema import Draft202012Validator, FormatChecker
    except ImportError:
        raise RuntimeError('Missing dependency: pip install -r requirements.txt')

    schema = json.loads(schema_path.read_text(encoding='utf-8'))
    Draft202012Validator.check_schema(schema)
    validator = Draft202012Validator(schema, format_checker=FormatChecker())

    # Avoid a hard dependency on PyYAML: the configuration here contains simple scalar/list keys.
    try:
        import yaml
    except ImportError:
        raise RuntimeError('Missing dependency: pip install -r requirements.txt')
    cfg = yaml.safe_load(config_path.read_text(encoding='utf-8'))
    if not isinstance(cfg, dict):
        errors.append('Benchmark config must be a YAML mapping')
        cfg = {}
    for key, value in {'purpose': 'evaluation_only', 'hf_split': 'test', 'training_permitted': False}.items():
        if cfg.get(key) != value:
            errors.append(f'Config mismatch: {key} must be {value!r}')
    if cfg.get('hf_configs') != ['en-es', 'en-eu']:
        errors.append('Config hf_configs must be [en-es, en-eu]')
    if cfg.get('source_language') != 'en' or cfg.get('target_languages') != ['es', 'eu']:
        errors.append('Config language settings must match en -> [es, eu]')
    if str(cfg.get('schema_version')) != schema.get('properties', {}).get('schema_version', {}).get('const'):
        errors.append('Config schema_version differs from JSON Schema')

    canonical_path = data_dir / 'canonical' / 'all_languages.jsonl'
    records = read_jsonl(canonical_path, errors)
    canonical = index_rows(records, canonical_path.name, errors)
    batch_members = {}
    topics = Counter()
    for row in records:
        identifier = row.get('id', '<missing>')
        for issue in validator.iter_errors(row):
            errors.append(f'Canonical id {identifier}: {"/".join(map(str, issue.absolute_path))}: {issue.message}')
        try:
            src = row['source']
            checksum = hashlib.sha256(src['text'].encode('utf-8')).hexdigest()
            if src['source_sha256'] != checksum:
                errors.append(f'{identifier}: source_sha256 mismatch')
            if src['source_identifier'] != identifier:
                errors.append(f'{identifier}: source_identifier differs from id')
            batch = row['batch_id']
            if not re.fullmatch(r'batch_\d{3}', batch):
                errors.append(f'{identifier}: malformed batch_id')
            batch_members.setdefault(batch, []).append(row)
            topics[src['topic']] += 1
        except (KeyError, TypeError) as ex:
            errors.append(f'{identifier}: cannot check canonical fields ({ex})')

    # Confirm batch files are a complete, exact decomposition of all_languages.jsonl.
    batch_dir = data_dir / 'canonical'
    present = {p.stem: p for p in batch_dir.glob('batch_*.jsonl')}
    if set(present) != set(batch_members):
        errors.append(f'Canonical batch file set differs: expected {sorted(batch_members)}, actual {sorted(present)}')
    for batch, members in batch_members.items():
        if batch not in present:
            continue
        actual_rows = read_jsonl(present[batch], errors)
        expected_index = index_rows(members, f'all_languages/{batch}', errors)
        actual_index = index_rows(actual_rows, f'{batch}.jsonl', errors)
        if list(actual_index) != list(expected_index):
            errors.append(f'{batch}: per-batch IDs/order differ from all_languages.jsonl')
        for identifier, expected in expected_index.items():
            if identifier in actual_index and actual_index[identifier] != expected:
                errors.append(f'{batch}: canonical contents differ for id {identifier}')

    pair_counts = {}
    for lang in LANGUAGES:
        label = f'en-{lang}'
        path = data_dir / 'pairs' / label / 'test.jsonl'
        rows = read_jsonl(path, errors)
        pair_counts[label] = len(rows)
        pairs = index_rows(rows, f'{label}/test', errors)
        if list(pairs) != list(canonical):
            errors.append(f'{label}: IDs or order differ from canonical')
        for identifier, source in canonical.items():
            if identifier not in pairs:
                errors.append(f'{label}: missing id {identifier}')
                continue
            try:
                target = expected_pair(source, lang)
                current = pairs[identifier]
                if target != current:
                    for field in sorted(set(target) | set(current)):
                        if target.get(field) != current.get(field) or field not in target or field not in current:
                            errors.append(f'{label}: {identifier}: field {field} differs from canonical-derived value')
            except (TypeError, KeyError) as ex:
                errors.append(f'{label}: cannot derive canonical pair for id {identifier} ({ex})')
        for identifier in pairs.keys() - canonical.keys():
            errors.append(f'{label}: unexpected id {identifier}')

    # No train or validation datasets are allowed in the release pair tree.
    pair_root = data_dir / 'pairs'
    expected_files = {pair_root / f'en-{lang}' / 'test.jsonl' for lang in LANGUAGES}
    for p in pair_root.rglob('*.jsonl'):
        if p not in expected_files:
            errors.append(f'Unexpected pair JSONL (potential training/dev split or stale data): {p}')

    expected_batches = cfg.get('expected_total_batches', 10)
    try:
        expected_batches = int(expected_batches)
    except (ValueError, TypeError):
        errors.append('Config expected_total_batches is invalid')
        expected_batches = 10
    expected_instances = cfg.get('expected_instances_per_batch', 50)
    try:
        expected_instances = int(expected_instances)
    except (ValueError, TypeError):
        errors.append('Config expected_instances_per_batch is invalid')
        expected_instances = 50
    if len(batch_members) > expected_batches:
        errors.append(f'Found {len(batch_members)} batches, exceeds configured {expected_batches}')
    for batch, members in batch_members.items():
        if len(members) != expected_instances:
            errors.append(f'{batch}: {len(members)} records; expected {expected_instances}')
    if len(batch_members) < expected_batches:
        text = f'Partial dataset: {len(batch_members)}/{expected_batches} batches loaded; do not publish as complete'
        (errors if strict_complete else warnings).append(text)
    if set(topics) - set(EXPECTED_TOPICS):
        errors.append('Unexpected topic labels in canonical dataset')

    report.update({
        'status': 'FAIL' if errors else 'PASS',
        'complete': len(batch_members) == expected_batches,
        'canonical_records': len(records),
        'batches': {k: len(v) for k,v in sorted(batch_members.items())},
        'pair_records': pair_counts,
        'topic_counts': dict(sorted(topics.items())),
        'schema_valid': not any('Canonical id ' in e for e in errors),
        'cross_view_consistent': not any('en-es:' in e or 'en-eu:' in e for e in errors),
        'error_count': len(errors),
        'warning_count': len(warnings),
        'errors': errors,
        'warnings': warnings,
    })
    return report


def main():
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument('--data-dir', type=Path, default=Path('data'))
    parser.add_argument('--schema', type=Path, default=Path('schema/benchmark.schema.json'))
    parser.add_argument('--config', type=Path, default=Path('config/benchmark.yaml'))
    parser.add_argument('--strict-complete', action='store_true', help='Fail unless all configured batches are present')
    parser.add_argument('--report', type=Path, default=None, help='Optional output JSON report; default data/reports/independent_validation.json')
    args = parser.parse_args()
    try:
        result = validate(args.data_dir, args.schema, args.config, args.strict_complete)
    except (ValueError, OSError, RuntimeError, json.JSONDecodeError) as error:
        print(f'VALIDATION FAILED: {error}', file=sys.stderr)
        return 2
    output = args.report or args.data_dir / 'reports' / 'independent_validation.json'
    output.parent.mkdir(parents=True, exist_ok=True)
    output.write_text(json.dumps(result, ensure_ascii=False, indent=2) + '\n', encoding='utf-8')
    print(f'{result["status"]}: {result["canonical_records"]} canonical records; '
          f'{len(result["batches"])} batches; {result["error_count"]} errors; '
          f'{result["warning_count"]} warnings. Report: {output}')
    for message in result['errors'][:20]:
        print(f'ERROR: {message}', file=sys.stderr)
    for message in result['warnings']:
        print(f'WARNING: {message}', file=sys.stderr)
    return 0 if not result['errors'] else 1


if __name__ == '__main__':
    sys.exit(main())

	#!/usr/bin/env python3
	"""Independent, read-only verification of generated CRITICS canonical and HF pair files.

	Returns nonzero on errors. Writes JSON and optionally text reports under data/reports.
	Never builds/replaces benchmark data; detects stale files and cross-view divergence.
	"""
	import argparse
	from collections import Counter
	from datetime import date
	import hashlib
	import json
	from pathlib import Path
	import re
	import sys

	LANGUAGES = ('es', 'eu')
	EXPECTED_TOPICS = ('artificial_intelligence', 'biology', 'chemistry', 'mathematics', 'physics')


	def read_jsonl(path, errors):
	if not path.is_file():
	errors.append(f'Missing required file: {path}')
	return []
	records = []
	for line_no, line in enumerate(path.read_text(encoding='utf-8').splitlines(), 1):
	if not line.strip():
	errors.append(f'{path}:{line_no}: blank JSONL line')
	continue
	try:
	entry = json.loads(line)
	except json.JSONDecodeError as ex:
	errors.append(f'{path}:{line_no}: JSON parse error: {ex}')
	continue
	if not isinstance(entry, dict):
	errors.append(f'{path}:{line_no}: expected an object')
	else:
	records.append(entry)
	return records


	def index_rows(rows, label, errors):
	indexed = {}
	for pos, row in enumerate(rows, 1):
	identifier = row.get('id')
	if not isinstance(identifier, str) or not identifier:
	errors.append(f'{label} record {pos}: missing/non-string id')
	elif identifier in indexed:
	errors.append(f'{label}: duplicate id {identifier}')
	else:
	indexed[identifier] = row
	return indexed


	def expected_pair(row, lang):
	src = row['source']
	translation = row['translations'][lang]
	pe = translation['post_edit']
	meta = translation['mt']['metadata']
	return {
	'id': row['id'],
	'batch_id': row['batch_id'],
	'topic': src['topic'],
	'repository': src['repository'],
	'source_document_key': src['source_document_key'],
	'source_text': src['text'],
	'source_sha256': src['source_sha256'],
	'target_lang': lang,
	'mt_text': translation['mt']['text'],
	'reference_text': pe['text'] if pe is not None else None,
	'reference_status': 'pending' if pe is None else 'human_post_edited',
	'mt_system': meta['system'],
	'mt_prompt_version': meta['prompt_version'],
	}


	def validate(data_dir, schema_path, config_path, strict_complete=False):
	errors, warnings = [], []
	report = {
	'validator': 'independent_cross_representation_v1',
	'purpose': 'evaluation_only',
	'schema_path': str(schema_path),
	'config_path': str(config_path),
	}
	try:
	from jsonschema import Draft202012Validator, FormatChecker
	except ImportError:
	raise RuntimeError('Missing dependency: pip install -r requirements.txt')

	schema = json.loads(schema_path.read_text(encoding='utf-8'))
	Draft202012Validator.check_schema(schema)
	validator = Draft202012Validator(schema, format_checker=FormatChecker())

	# Avoid a hard dependency on PyYAML: the configuration here contains simple scalar/list keys.
	try:
	import yaml
	except ImportError:
	raise RuntimeError('Missing dependency: pip install -r requirements.txt')
	cfg = yaml.safe_load(config_path.read_text(encoding='utf-8'))
	if not isinstance(cfg, dict):
	errors.append('Benchmark config must be a YAML mapping')
	cfg = {}
	for key, value in {'purpose': 'evaluation_only', 'hf_split': 'test', 'training_permitted': False}.items():
	if cfg.get(key) != value:
	errors.append(f'Config mismatch: {key} must be {value!r}')
	if cfg.get('hf_configs') != ['en-es', 'en-eu']:
	errors.append('Config hf_configs must be [en-es, en-eu]')
	if cfg.get('source_language') != 'en' or cfg.get('target_languages') != ['es', 'eu']:
	errors.append('Config language settings must match en -> [es, eu]')
	if str(cfg.get('schema_version')) != schema.get('properties', {}).get('schema_version', {}).get('const'):
	errors.append('Config schema_version differs from JSON Schema')

	canonical_path = data_dir / 'canonical' / 'all_languages.jsonl'
	records = read_jsonl(canonical_path, errors)
	canonical = index_rows(records, canonical_path.name, errors)
	batch_members = {}
	topics = Counter()
	for row in records:
	identifier = row.get('id', '<missing>')
	for issue in validator.iter_errors(row):
	errors.append(f'Canonical id {identifier}: {"/".join(map(str, issue.absolute_path))}: {issue.message}')
	try:
	src = row['source']
	checksum = hashlib.sha256(src['text'].encode('utf-8')).hexdigest()
	if src['source_sha256'] != checksum:
	errors.append(f'{identifier}: source_sha256 mismatch')
	if src['source_identifier'] != identifier:
	errors.append(f'{identifier}: source_identifier differs from id')
	batch = row['batch_id']
	if not re.fullmatch(r'batch_\d{3}', batch):
	errors.append(f'{identifier}: malformed batch_id')
	batch_members.setdefault(batch, []).append(row)
	topics[src['topic']] += 1
	except (KeyError, TypeError) as ex:
	errors.append(f'{identifier}: cannot check canonical fields ({ex})')

	# Confirm batch files are a complete, exact decomposition of all_languages.jsonl.
	batch_dir = data_dir / 'canonical'
	present = {p.stem: p for p in batch_dir.glob('batch_*.jsonl')}
	if set(present) != set(batch_members):
	errors.append(f'Canonical batch file set differs: expected {sorted(batch_members)}, actual {sorted(present)}')
	for batch, members in batch_members.items():
	if batch not in present:
	continue
	actual_rows = read_jsonl(present[batch], errors)
	expected_index = index_rows(members, f'all_languages/{batch}', errors)
	actual_index = index_rows(actual_rows, f'{batch}.jsonl', errors)
	if list(actual_index) != list(expected_index):
	errors.append(f'{batch}: per-batch IDs/order differ from all_languages.jsonl')
	for identifier, expected in expected_index.items():
	if identifier in actual_index and actual_index[identifier] != expected:
	errors.append(f'{batch}: canonical contents differ for id {identifier}')

	pair_counts = {}
	for lang in LANGUAGES:
	label = f'en-{lang}'
	path = data_dir / 'pairs' / label / 'test.jsonl'
	rows = read_jsonl(path, errors)
	pair_counts[label] = len(rows)
	pairs = index_rows(rows, f'{label}/test', errors)
	if list(pairs) != list(canonical):
	errors.append(f'{label}: IDs or order differ from canonical')
	for identifier, source in canonical.items():
	if identifier not in pairs:
	errors.append(f'{label}: missing id {identifier}')
	continue
	try:
	target = expected_pair(source, lang)
	current = pairs[identifier]
	if target != current:
	for field in sorted(set(target) \| set(current)):
	if target.get(field) != current.get(field) or field not in target or field not in current:
	errors.append(f'{label}: {identifier}: field {field} differs from canonical-derived value')
	except (TypeError, KeyError) as ex:
	errors.append(f'{label}: cannot derive canonical pair for id {identifier} ({ex})')
	for identifier in pairs.keys() - canonical.keys():
	errors.append(f'{label}: unexpected id {identifier}')

	# No train or validation datasets are allowed in the release pair tree.
	pair_root = data_dir / 'pairs'
	expected_files = {pair_root / f'en-{lang}' / 'test.jsonl' for lang in LANGUAGES}
	for p in pair_root.rglob('*.jsonl'):
	if p not in expected_files:
	errors.append(f'Unexpected pair JSONL (potential training/dev split or stale data): {p}')

	expected_batches = cfg.get('expected_total_batches', 10)
	try:
	expected_batches = int(expected_batches)
	except (ValueError, TypeError):
	errors.append('Config expected_total_batches is invalid')
	expected_batches = 10
	expected_instances = cfg.get('expected_instances_per_batch', 50)
	try:
	expected_instances = int(expected_instances)
	except (ValueError, TypeError):
	errors.append('Config expected_instances_per_batch is invalid')
	expected_instances = 50
	if len(batch_members) > expected_batches:
	errors.append(f'Found {len(batch_members)} batches, exceeds configured {expected_batches}')
	for batch, members in batch_members.items():
	if len(members) != expected_instances:
	errors.append(f'{batch}: {len(members)} records; expected {expected_instances}')
	if len(batch_members) < expected_batches:
	text = f'Partial dataset: {len(batch_members)}/{expected_batches} batches loaded; do not publish as complete'
	(errors if strict_complete else warnings).append(text)
	if set(topics) - set(EXPECTED_TOPICS):
	errors.append('Unexpected topic labels in canonical dataset')

	report.update({
	'status': 'FAIL' if errors else 'PASS',
	'complete': len(batch_members) == expected_batches,
	'canonical_records': len(records),
	'batches': {k: len(v) for k,v in sorted(batch_members.items())},
	'pair_records': pair_counts,
	'topic_counts': dict(sorted(topics.items())),
	'schema_valid': not any('Canonical id ' in e for e in errors),
	'cross_view_consistent': not any('en-es:' in e or 'en-eu:' in e for e in errors),
	'error_count': len(errors),
	'warning_count': len(warnings),
	'errors': errors,
	'warnings': warnings,
	})
	return report


	def main():
	parser = argparse.ArgumentParser(description=__doc__)
	parser.add_argument('--data-dir', type=Path, default=Path('data'))
	parser.add_argument('--schema', type=Path, default=Path('schema/benchmark.schema.json'))
	parser.add_argument('--config', type=Path, default=Path('config/benchmark.yaml'))
	parser.add_argument('--strict-complete', action='store_true', help='Fail unless all configured batches are present')
	parser.add_argument('--report', type=Path, default=None, help='Optional output JSON report; default data/reports/independent_validation.json')
	args = parser.parse_args()
	try:
	result = validate(args.data_dir, args.schema, args.config, args.strict_complete)
	except (ValueError, OSError, RuntimeError, json.JSONDecodeError) as error:
	print(f'VALIDATION FAILED: {error}', file=sys.stderr)
	return 2
	output = args.report or args.data_dir / 'reports' / 'independent_validation.json'
	output.parent.mkdir(parents=True, exist_ok=True)
	output.write_text(json.dumps(result, ensure_ascii=False, indent=2) + '\n', encoding='utf-8')
	print(f'{result["status"]}: {result["canonical_records"]} canonical records; '
	f'{len(result["batches"])} batches; {result["error_count"]} errors; '
	f'{result["warning_count"]} warnings. Report: {output}')
	for message in result['errors'][:20]:
	print(f'ERROR: {message}', file=sys.stderr)
	for message in result['warnings']:
	print(f'WARNING: {message}', file=sys.stderr)
	return 0 if not result['errors'] else 1


	if __name__ == '__main__':
	sys.exit(main())