Datasets:
| """MacroLens dataloader: canonical sample budgets + index generators. | |
| Sits between the immutable benchmark artifacts (`data_small_caps/benchmark/`) | |
| and the family runners (`baselines/`). Owns: | |
| - `budgets.EVAL_N_PER_TASK`, `budgets.TRAIN_N_PER_TASK`, `budgets.SEED`: | |
| the canonical sample budgets per task. Single source of truth. | |
| - `canonical_indices.get_canonical_indices(task, split)`: deterministic, | |
| stratified index generator with on-disk cache. Same indices for every | |
| method, so cross-method comparison on each task is fair. | |
| Cache layout: `experiments/cache/canonical_indices/<key>/<split>_<task>.parquet` | |
| where `<key>` encodes (n_eval, n_train, seed, stratifier_version). | |
| Changing any cache-key dimension produces a new cache directory; the | |
| immutable benchmark artifacts under `data_small_caps/` are NEVER touched | |
| (the cache lives experiment-side, not in the dataset tree). | |
| """ | |
| from .budgets import ( | |
| EVAL_N_PER_TASK, | |
| TRAIN_N_PER_TASK, | |
| SEED, | |
| STRATIFIER_VERSION, | |
| cache_key, | |
| ) | |
| from .canonical_indices import get_canonical_indices, build_all | |
| __all__ = [ | |
| "EVAL_N_PER_TASK", | |
| "TRAIN_N_PER_TASK", | |
| "SEED", | |
| "STRATIFIER_VERSION", | |
| "cache_key", | |
| "get_canonical_indices", | |
| "build_all", | |
| ] | |