| --- |
| language: |
| - en |
| license: apache-2.0 |
| pretty_name: ProbeBench classical reference selection v1 |
| tags: |
| - optics |
| - wavefront-sensing |
| - scientific-computing |
| configs: |
| - config_name: default |
| data_files: |
| - split: public_tuning |
| path: images/** |
| --- |
| |
| # ProbeBench classical reference selection v1 |
|
|
| This export retains 4032 episodes and 30912 acquired images across all |
| 14 candidates and 12 independent base wavefronts. The split is |
| `public_tuning`: these are public parameter-selection data, not training/test splits, |
| held-out performance estimates, telescope measurements or language-model results. |
|
|
| `images/metadata.jsonl` preserves candidate, family, photon/exposure cell, base, |
| conjugate member, RMS stratum and detector-replicate identity. `selected_reference` |
| identifies the single global choice per family; non-winning candidates remain included. |
| The command and expected-photon fields describe the actual exposure. Columns prefixed |
| `evaluator_` are latent simulator labels and must not be supplied as controller inputs. |
| Cohort identity and selection flags are analysis labels, not additional observations. |
|
|
| `raw/` stores the corresponding signed float64 electron arrays. `raw_array` paths are |
| relative to this export root, while `file_name` is relative to `images/`. PNGs use |
| log1p(max(electrons, 0))/log1p(photons per exposure), fixed limits 0–1, the magma map, |
| and image origin lower. Display clipping does not alter the raw arrays. No final image |
| is invented for an unmeasured command; every image corresponds to a retained exposure. |
|
|
| `episodes.jsonl` preserves complete native case records under `record`, including |
| latent wavefronts, seeds, all optimizer diagnostics, and final-command observation |
| indices. A final command measured earlier is distinct from the last exposure and from |
| an unmeasured submission. Episode records and `configuration.json` contain evaluator |
| information and are not observation inputs. `selected-settings.json` preserves the |
| six globally selected configurations. `provenance.json` binds the source fingerprints, |
| full replay receipt, generator and rendering dependencies. `manifest.json` inventories |
| this export separately from the original archive. |
|
|
| ## Load locally without a second image cache |
|
|
| ```python |
| from pathlib import Path |
| from datasets import load_dataset |
| import numpy as np |
| |
| root = Path("work/selection-imagefolder") |
| frames = load_dataset("imagefolder", |
| data_files={"public_tuning": str(root / "images" / "**")}, |
| split="public_tuning", streaming=True) |
| first = next(iter(frames)) |
| electrons = np.load(root / first["raw_array"], allow_pickle=False) |
| ``` |
|
|
| The layout follows the official [ImageFolder metadata format](https://huggingface.co/docs/datasets/image_dataset) |
| and [local loading configuration](https://huggingface.co/docs/datasets/loading). |
|
|
| The model is static monochromatic scalar Fourier optics with six controlled modes, |
| an exactly matched estimator, and Poisson–Gaussian detector noise. Conjugates, |
| replicates and shared budget prefixes are correlated; they do not add independent |
| wavefronts. Keep all numerical failures and non-winning results in analyses. Recorded |
| decision times do not establish comparable algorithm latency or real-time guarantees. |
| Hashes establish consistency with the pinned release, not authorship. Shared file |
| locking excludes cooperating writers; keep the input tree unchanged during export. |
| An interrupted export has no completed manifest and must not be treated as a dataset. |
|
|
