Datasets:
Download scripts/validate_data.py from UniX-Lab/StreamOPD-Data: direct link, hf CLI and curl.
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- Download file 2.97 kB
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https://huggingface.co/datasets/UniX-Lab/StreamOPD-Data/resolve/f34ffc97da971fd4a0876fee499bcd22a828eb02/scripts/validate_data.py
- Command line
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hf download hf://datasets/UniX-Lab/StreamOPD-Data@f34ffc97da971fd4a0876fee499bcd22a828eb02/scripts/validate_data.py
-
curl -L -o validate_data.py https://huggingface.co/datasets/UniX-Lab/StreamOPD-Data/resolve/f34ffc97da971fd4a0876fee499bcd22a828eb02/scripts/validate_data.py
2.97 kB
| #!/usr/bin/env python3 | |
| """Validate release checksums, relative paths, schema and split consistency.""" | |
| import argparse | |
| import hashlib | |
| import json | |
| import math | |
| from pathlib import Path, PurePosixPath | |
| import re | |
| import pyarrow.parquet as pq | |
| def string_values(value): | |
| if isinstance(value, str): | |
| yield value | |
| elif isinstance(value, dict): | |
| for v in value.values(): | |
| yield from string_values(v) | |
| elif isinstance(value, list): | |
| for v in value: | |
| yield from string_values(v) | |
| def main(): | |
| ap = argparse.ArgumentParser(description=__doc__) | |
| ap.add_argument('--release-dir', type=Path, default=Path(__file__).resolve().parents[1]) | |
| args = ap.parse_args() | |
| root = args.release_dir | |
| checksum_file = root / 'checksums.sha256' | |
| if checksum_file.is_file(): | |
| for line in checksum_file.read_text().splitlines(): | |
| expected, rel = line.split(' ', 1) | |
| assert hashlib.sha256((root / rel).read_bytes()).hexdigest() == expected, rel | |
| stats = json.loads((root / 'metadata/dataset_stats.json').read_text()) | |
| result = [] | |
| for config, splits in stats.items(): | |
| seen = set() | |
| for split, expected in splits.items(): | |
| table = pq.read_table(root / 'data' / config / (split + '.parquet')) | |
| assert table.schema.metadata is None | |
| rows = table.to_pylist() | |
| assert len(rows) == expected['rows'] | |
| assert sum(row['cue_available'] for row in rows) == expected['cue_available'] | |
| assert sum(row['privacy_redacted'] for row in rows) == expected['privacy_redacted_rows'] | |
| for row in rows: | |
| assert row['sample_id'] not in seen | |
| seen.add(row['sample_id']) | |
| assert row['ground_truth'] == row['reward_model']['ground_truth'] | |
| assert row['teacher_reference_raw'] == row['prompt'] | |
| if not row['cue_available']: | |
| assert row['cue_text'] is None | |
| assert row['teacher_prompt'] == row['prompt'] == row['teacher_reference_empty'] | |
| for video in row['videos']: | |
| p = PurePosixPath(video['video']) | |
| assert not p.is_absolute() and '..' not in p.parts | |
| assert p.parts[0] in ['LLaVA-Video-178K', 'Kinetics-700'] | |
| assert math.isfinite(video['video_start']) and math.isfinite(video['video_end']) | |
| assert 0 <= video['video_start'] < video['video_end'] | |
| for value in string_values(row): | |
| assert not re.search(r'(?<![\w-])hf_[A-Za-z0-9]{20,}', value) | |
| assert not re.search(r'[\w.%+-]+@[\w.-]+\.[A-Za-z]{2,}', value) | |
| result.append({'config': config, 'split': split, 'rows': len(rows), 'status': 'passed'}) | |
| print(json.dumps({'checksums_verified': checksum_file.is_file(), 'splits': result}, indent=2)) | |
| if __name__ == '__main__': | |
| main() | |