| """4000 balanced oracle-evidence claims;1592families;not retrieval-task scores.""" | |
| from pathlib import Path | |
| import numpy as np | |
| def load_cached(path): | |
| with np.load(Path(path),allow_pickle=False) as z: arrays={k:z[k] for k in z.files} | |
| if not any(v.ndim and v.shape[0]==4000 for v in arrays.values()): | |
| raise ValueError("FROZEN_HOVER_CARDINALITY_MISMATCH") | |
| return arrays | |