Datasets:
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f02626b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | """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",
]
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