Datasets:
| from pathlib import Path | |
| import re | |
| import pandas as pd | |
| allowed_sources = {'DexYCB'} | |
| drive_path = re.compile(r"^[A-Za-z]:\\") | |
| for path in Path("metadata").glob('*manifest.parquet'): | |
| df = pd.read_parquet(path) | |
| if "source_dataset" not in df.columns: | |
| raise ValueError(f"{path} is missing source_dataset") | |
| bad = set(df["source_dataset"].dropna().unique()) - allowed_sources | |
| if bad: | |
| raise ValueError(f"{path} contains unexpected sources: {bad}") | |
| for col in df.columns: | |
| values = df[col].dropna().astype(str).head(1000) | |
| if any(drive_path.match(v) or v.startswith("/data/") for v in values): | |
| raise ValueError(f"{path} column {col} appears to contain local absolute paths") | |
| print('All MANUS-DexYCB manifests contain only DexYCB portable metadata.') | |