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Browse files- README.md +42 -31
- data/README.md +4 -4
- data/test-00007-of-00011.parquet +3 -0
- data/test-00008-of-00011.parquet +3 -0
- data/test-00009-of-00011.parquet +3 -0
- data/train-00000-of-00094.parquet +3 -0
- data/train-00001-of-00094.parquet +3 -0
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- metadata/healthy_bone_cell_manifest.jsonl +0 -0
- metadata/healthy_bone_cell_manifest_summary.json +277 -0
- metadata/schema.json +6 -7
- metadata/split_summary.json +11 -5
README.md
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@@ -11,6 +11,14 @@ tags:
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task_categories:
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- image-to-image
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configs:
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- config_name: external_waveplate
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default: true
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data_files:
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- Uploaded: external waveplate test data at 633 nm.
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- Uploaded: external spectral test data at 610, 650, and 690 nm.
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-
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Because the waveplate tensors are 200 x 200 while the
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256 x 256, the
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- `external_waveplate`
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- `external_spectral`
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## Data Sources
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This release contains
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- Waveplate data: `hwp633` and `qwp633`, measured at 633 nm.
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- Multi-wavelength spectral data: selected wavelengths from `mwl_530_690`,
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currently 610, 650, and 690 nm.
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The healthy bone cell data from `polarization_v2` is planned for a later upload
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as `train`, `validation`, and `test`.
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-
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## File Structure
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```text
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│ ├── external_waveplate-00000-of-00001.parquet
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│ ├── external_spectral_610-00000-of-00001.parquet
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│ ├── external_spectral_650-00000-of-00001.parquet
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│
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└── metadata/
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├── acquisition_info.json
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├── channel_order.json
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├── parameter_ranges.json
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├── schema.json
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└── split_summary.json
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"sample_id": str,
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"source_id": str,
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"split": str,
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"subset": str, # waveplate or spectral
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"specimen_type": str, # waveplate or spectral
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"wavelength_nm": int,
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"source_path": str,
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"mueller_shape": list[int],
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"target_shape": list[int],
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}
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```
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-
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```python
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{
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Current tensor shapes:
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- `external_waveplate`: `mueller = [16, 200, 200]`, `target = [6, 200, 200]`.
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- `external_spectral_*`: `mueller = [16, 256, 256]`,
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`target = [6, 256, 256]`.
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Important encoding note:
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- Waveplate target arrays are stored from the source `.npy` files as float32.
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-
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values normalized to `[0, 1]`; see `target_encoding`.
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- Mueller matrix tensors are stored as measured/processed values, not forcibly
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clipped to `[-1, 1]`.
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| Split | Config | Subset | Samples | Shape | Notes |
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|---|---|---:|---:|---|---|
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| external_waveplate | external_waveplate | waveplate | 18 | `[16, 200, 200] -> [6, 200, 200]` | 633 nm HWP/QWP |
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| external_spectral_610 | external_spectral | spectral | 165 | `[16, 256, 256] -> [6, 256, 256]` | 610 nm |
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| external_spectral_650 | external_spectral | spectral | 165 | `[16, 256, 256] -> [6, 256, 256]` | 650 nm |
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| external_spectral_690 | external_spectral | spectral | 165 | `[16, 256, 256] -> [6, 256, 256]` | 690 nm |
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| train | not uploaded yet | healthy_bone_cell | TBD | TBD | planned |
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| validation | not uploaded yet | healthy_bone_cell | TBD | TBD | planned |
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| test | not uploaded yet | healthy_bone_cell | TBD | TBD | planned |
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## Benchmark Protocols
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-
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1.
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`external_waveplate`.
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-
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`external_spectral_610`, `external_spectral_650`, and
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`external_spectral_690`.
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Planned full benchmark:
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1. Train on healthy bone cell `train`.
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2. Tune on healthy bone cell `validation`.
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3. Report clean performance on healthy bone cell `test`.
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4. Report external generalisation on waveplate and spectral splits.
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-
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## Loading Instructions
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Install the Hugging Face datasets package:
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```python
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from datasets import load_dataset
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spectral = load_dataset("HY2333/MMPD_Bench", "external_spectral")
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waveplate = load_dataset("HY2333/MMPD_Bench", "external_waveplate")
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```
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## Ethics and Limitations
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The current release
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-
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cell splits.
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The targets are Lu-Chipman reference outputs. Evaluation should be interpreted
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as agreement with a physics-solver reference and related physics consistency,
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task_categories:
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- image-to-image
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configs:
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- config_name: healthy_bone_cell
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data_files:
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- split: train
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path: data/train-*.parquet
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- split: validation
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path: data/validation-*.parquet
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- split: test
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path: data/test-*.parquet
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- config_name: external_waveplate
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default: true
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data_files:
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- Uploaded: external waveplate test data at 633 nm.
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- Uploaded: external spectral test data at 610, 650, and 690 nm.
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- Prepared locally for upload: healthy bone cell `train`, `validation`, and
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`test` splits.
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Because the waveplate tensors are 200 x 200 while the healthy bone cell and
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spectral tensors are 256 x 256, the data is published as separate configs:
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- `healthy_bone_cell`
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- `external_waveplate`
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- `external_spectral`
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## Data Sources
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This release contains healthy bone cell data from `polarization_v2` and external
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test data from `polarization_v3`:
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- Healthy bone cell data: source-provided patch splits from 53 sample folders.
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- Waveplate data: `hwp633` and `qwp633`, measured at 633 nm.
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- Multi-wavelength spectral data: selected wavelengths from `mwl_530_690`,
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currently 610, 650, and 690 nm.
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## File Structure
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```text
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│ ├── external_waveplate-00000-of-00001.parquet
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│ ├── external_spectral_610-00000-of-00001.parquet
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│ ├── external_spectral_650-00000-of-00001.parquet
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│ ├── external_spectral_690-00000-of-00001.parquet
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│ ├── train-00000-of-00094.parquet
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│ ├── validation-00000-of-00012.parquet
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│ └── test-00000-of-00011.parquet
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└── metadata/
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├── acquisition_info.json
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├── channel_order.json
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├── healthy_bone_cell_manifest.jsonl
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├── healthy_bone_cell_manifest_summary.json
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├── parameter_ranges.json
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├── schema.json
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└── split_summary.json
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"sample_id": str,
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"source_id": str,
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"split": str,
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"subset": str, # healthy_bone_cell, waveplate, or spectral
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"specimen_type": str, # healthy_bone_cell, waveplate, or spectral
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"wavelength_nm": int | None,
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"source_path": str,
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"mueller_shape": list[int],
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"target_shape": list[int],
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}
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```
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Patch-based columns for healthy bone cell and spectral rows:
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```python
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{
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Current tensor shapes:
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- `healthy_bone_cell`: `mueller = [16, 256, 256]`,
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`target = [6, 256, 256]`.
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- `external_waveplate`: `mueller = [16, 200, 200]`, `target = [6, 200, 200]`.
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- `external_spectral_*`: `mueller = [16, 256, 256]`,
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`target = [6, 256, 256]`.
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Important encoding note:
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- Waveplate target arrays are stored from the source `.npy` files as float32.
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- Healthy bone cell and spectral target arrays were converted from grayscale PNG
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files to float32 values normalized to `[0, 1]`; see `target_encoding`.
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- Mueller matrix tensors are stored as measured/processed values, not forcibly
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clipped to `[-1, 1]`.
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| Split | Config | Subset | Samples | Shape | Notes |
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|---|---|---:|---:|---|---|
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| train | healthy_bone_cell | healthy_bone_cell | 6006 | `[16, 256, 256] -> [6, 256, 256]` | 94 shards |
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| validation | healthy_bone_cell | healthy_bone_cell | 713 | `[16, 256, 256] -> [6, 256, 256]` | 12 shards |
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| test | healthy_bone_cell | healthy_bone_cell | 643 | `[16, 256, 256] -> [6, 256, 256]` | 11 shards |
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| external_waveplate | external_waveplate | waveplate | 18 | `[16, 200, 200] -> [6, 200, 200]` | 633 nm HWP/QWP |
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| external_spectral_610 | external_spectral | spectral | 165 | `[16, 256, 256] -> [6, 256, 256]` | 610 nm |
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| external_spectral_650 | external_spectral | spectral | 165 | `[16, 256, 256] -> [6, 256, 256]` | 650 nm |
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| external_spectral_690 | external_spectral | spectral | 165 | `[16, 256, 256] -> [6, 256, 256]` | 690 nm |
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## Benchmark Protocols
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Evaluation configs:
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1. Healthy bone cell benchmark: use config `healthy_bone_cell`, splits `train`,
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`validation`, and `test`.
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2. External waveplate evaluation: use config `external_waveplate`, split
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`external_waveplate`.
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3. External spectral evaluation: use config `external_spectral`, then evaluate
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`external_spectral_610`, `external_spectral_650`, and
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`external_spectral_690`.
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## Loading Instructions
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Install the Hugging Face datasets package:
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```python
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from datasets import load_dataset
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healthy = load_dataset("HY2333/MMPD_Bench", "healthy_bone_cell")
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spectral = load_dataset("HY2333/MMPD_Bench", "external_spectral")
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waveplate = load_dataset("HY2333/MMPD_Bench", "external_waveplate")
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```
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## Ethics and Limitations
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The current public release focuses on healthy bone cell and external
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physical/spectral evaluation data. Diseased biological samples are not included
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in this release.
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The targets are Lu-Chipman reference outputs. Evaluation should be interpreted
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as agreement with a physics-solver reference and related physics consistency,
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data/README.md
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external_spectral_690-*.parquet # 165 rows
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```
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-
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```text
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train-*.parquet # healthy_bone_cell
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validation-*.parquet # healthy_bone_cell
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test-*.parquet # healthy_bone_cell
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```
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external_spectral_690-*.parquet # 165 rows
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```
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Generated locally for the healthy_bone_cell upload:
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```text
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train-*.parquet # healthy_bone_cell, 6006 rows, 94 shards
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validation-*.parquet # healthy_bone_cell, 713 rows, 12 shards
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test-*.parquet # healthy_bone_cell, 643 rows, 11 shards
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```
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|
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|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"counts": {
|
| 3 |
+
"test": 643,
|
| 4 |
+
"train": 6006,
|
| 5 |
+
"validation": 713
|
| 6 |
+
},
|
| 7 |
+
"errors": [],
|
| 8 |
+
"per_source_counts": {
|
| 9 |
+
"x_0_y_0": {
|
| 10 |
+
"test": 10,
|
| 11 |
+
"train": 114,
|
| 12 |
+
"validation": 13
|
| 13 |
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},
|
| 14 |
+
"x_0_y_2": {
|
| 15 |
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"test": 18,
|
| 16 |
+
"train": 168,
|
| 17 |
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"validation": 20
|
| 18 |
+
},
|
| 19 |
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"x_0_y_3": {
|
| 20 |
+
"test": 14,
|
| 21 |
+
"train": 130,
|
| 22 |
+
"validation": 15
|
| 23 |
+
},
|
| 24 |
+
"x_10_y_0": {
|
| 25 |
+
"test": 4,
|
| 26 |
+
"train": 36,
|
| 27 |
+
"validation": 4
|
| 28 |
+
},
|
| 29 |
+
"x_10_y_1": {
|
| 30 |
+
"test": 5,
|
| 31 |
+
"train": 45,
|
| 32 |
+
"validation": 5
|
| 33 |
+
},
|
| 34 |
+
"x_10_y_2": {
|
| 35 |
+
"test": 10,
|
| 36 |
+
"train": 96,
|
| 37 |
+
"validation": 11
|
| 38 |
+
},
|
| 39 |
+
"x_10_y_3": {
|
| 40 |
+
"test": 12,
|
| 41 |
+
"train": 108,
|
| 42 |
+
"validation": 13
|
| 43 |
+
},
|
| 44 |
+
"x_11_y_0": {
|
| 45 |
+
"test": 3,
|
| 46 |
+
"train": 27,
|
| 47 |
+
"validation": 3
|
| 48 |
+
},
|
| 49 |
+
"x_11_y_1": {
|
| 50 |
+
"test": 4,
|
| 51 |
+
"train": 38,
|
| 52 |
+
"validation": 4
|
| 53 |
+
},
|
| 54 |
+
"x_11_y_2": {
|
| 55 |
+
"test": 8,
|
| 56 |
+
"train": 68,
|
| 57 |
+
"validation": 8
|
| 58 |
+
},
|
| 59 |
+
"x_11_y_3": {
|
| 60 |
+
"test": 9,
|
| 61 |
+
"train": 82,
|
| 62 |
+
"validation": 10
|
| 63 |
+
},
|
| 64 |
+
"x_12_y_0": {
|
| 65 |
+
"test": 7,
|
| 66 |
+
"train": 67,
|
| 67 |
+
"validation": 8
|
| 68 |
+
},
|
| 69 |
+
"x_12_y_1": {
|
| 70 |
+
"test": 9,
|
| 71 |
+
"train": 88,
|
| 72 |
+
"validation": 10
|
| 73 |
+
},
|
| 74 |
+
"x_12_y_2": {
|
| 75 |
+
"test": 9,
|
| 76 |
+
"train": 85,
|
| 77 |
+
"validation": 10
|
| 78 |
+
},
|
| 79 |
+
"x_12_y_3": {
|
| 80 |
+
"test": 14,
|
| 81 |
+
"train": 130,
|
| 82 |
+
"validation": 16
|
| 83 |
+
},
|
| 84 |
+
"x_13_y_0": {
|
| 85 |
+
"test": 9,
|
| 86 |
+
"train": 81,
|
| 87 |
+
"validation": 9
|
| 88 |
+
},
|
| 89 |
+
"x_13_y_1": {
|
| 90 |
+
"test": 9,
|
| 91 |
+
"train": 89,
|
| 92 |
+
"validation": 10
|
| 93 |
+
},
|
| 94 |
+
"x_13_y_2": {
|
| 95 |
+
"test": 5,
|
| 96 |
+
"train": 81,
|
| 97 |
+
"validation": 9
|
| 98 |
+
},
|
| 99 |
+
"x_13_y_3": {
|
| 100 |
+
"test": 13,
|
| 101 |
+
"train": 164,
|
| 102 |
+
"validation": 19
|
| 103 |
+
},
|
| 104 |
+
"x_14_y_0": {
|
| 105 |
+
"test": 14,
|
| 106 |
+
"train": 115,
|
| 107 |
+
"validation": 14
|
| 108 |
+
},
|
| 109 |
+
"x_14_y_1": {
|
| 110 |
+
"test": 20,
|
| 111 |
+
"train": 161,
|
| 112 |
+
"validation": 20
|
| 113 |
+
},
|
| 114 |
+
"x_14_y_2": {
|
| 115 |
+
"test": 20,
|
| 116 |
+
"train": 187,
|
| 117 |
+
"validation": 23
|
| 118 |
+
},
|
| 119 |
+
"x_14_y_3": {
|
| 120 |
+
"test": 17,
|
| 121 |
+
"train": 158,
|
| 122 |
+
"validation": 19
|
| 123 |
+
},
|
| 124 |
+
"x_1_y_0": {
|
| 125 |
+
"test": 11,
|
| 126 |
+
"train": 89,
|
| 127 |
+
"validation": 11
|
| 128 |
+
},
|
| 129 |
+
"x_1_y_1": {
|
| 130 |
+
"test": 18,
|
| 131 |
+
"train": 178,
|
| 132 |
+
"validation": 21
|
| 133 |
+
},
|
| 134 |
+
"x_1_y_2": {
|
| 135 |
+
"test": 21,
|
| 136 |
+
"train": 204,
|
| 137 |
+
"validation": 25
|
| 138 |
+
},
|
| 139 |
+
"x_1_y_3": {
|
| 140 |
+
"test": 19,
|
| 141 |
+
"train": 161,
|
| 142 |
+
"validation": 19
|
| 143 |
+
},
|
| 144 |
+
"x_2_y_0": {
|
| 145 |
+
"test": 6,
|
| 146 |
+
"train": 50,
|
| 147 |
+
"validation": 6
|
| 148 |
+
},
|
| 149 |
+
"x_2_y_1": {
|
| 150 |
+
"test": 17,
|
| 151 |
+
"train": 136,
|
| 152 |
+
"validation": 17
|
| 153 |
+
},
|
| 154 |
+
"x_2_y_2": {
|
| 155 |
+
"test": 20,
|
| 156 |
+
"train": 192,
|
| 157 |
+
"validation": 23
|
| 158 |
+
},
|
| 159 |
+
"x_2_y_3": {
|
| 160 |
+
"test": 19,
|
| 161 |
+
"train": 172,
|
| 162 |
+
"validation": 21
|
| 163 |
+
},
|
| 164 |
+
"x_3_y_0": {
|
| 165 |
+
"test": 3,
|
| 166 |
+
"train": 35,
|
| 167 |
+
"validation": 4
|
| 168 |
+
},
|
| 169 |
+
"x_3_y_1": {
|
| 170 |
+
"test": 11,
|
| 171 |
+
"train": 101,
|
| 172 |
+
"validation": 12
|
| 173 |
+
},
|
| 174 |
+
"x_3_y_2": {
|
| 175 |
+
"test": 16,
|
| 176 |
+
"train": 133,
|
| 177 |
+
"validation": 16
|
| 178 |
+
},
|
| 179 |
+
"x_3_y_3": {
|
| 180 |
+
"test": 21,
|
| 181 |
+
"train": 171,
|
| 182 |
+
"validation": 21
|
| 183 |
+
},
|
| 184 |
+
"x_5_y_1": {
|
| 185 |
+
"test": 5,
|
| 186 |
+
"train": 75,
|
| 187 |
+
"validation": 8
|
| 188 |
+
},
|
| 189 |
+
"x_5_y_2": {
|
| 190 |
+
"test": 15,
|
| 191 |
+
"train": 131,
|
| 192 |
+
"validation": 16
|
| 193 |
+
},
|
| 194 |
+
"x_5_y_3": {
|
| 195 |
+
"test": 16,
|
| 196 |
+
"train": 144,
|
| 197 |
+
"validation": 17
|
| 198 |
+
},
|
| 199 |
+
"x_6_y_1": {
|
| 200 |
+
"test": 11,
|
| 201 |
+
"train": 94,
|
| 202 |
+
"validation": 11
|
| 203 |
+
},
|
| 204 |
+
"x_6_y_2": {
|
| 205 |
+
"test": 17,
|
| 206 |
+
"train": 161,
|
| 207 |
+
"validation": 19
|
| 208 |
+
},
|
| 209 |
+
"x_6_y_3": {
|
| 210 |
+
"test": 15,
|
| 211 |
+
"train": 127,
|
| 212 |
+
"validation": 15
|
| 213 |
+
},
|
| 214 |
+
"x_7_y_0": {
|
| 215 |
+
"test": 4,
|
| 216 |
+
"train": 44,
|
| 217 |
+
"validation": 5
|
| 218 |
+
},
|
| 219 |
+
"x_7_y_1": {
|
| 220 |
+
"test": 12,
|
| 221 |
+
"train": 132,
|
| 222 |
+
"validation": 16
|
| 223 |
+
},
|
| 224 |
+
"x_7_y_2": {
|
| 225 |
+
"test": 17,
|
| 226 |
+
"train": 181,
|
| 227 |
+
"validation": 21
|
| 228 |
+
},
|
| 229 |
+
"x_7_y_3": {
|
| 230 |
+
"test": 10,
|
| 231 |
+
"train": 100,
|
| 232 |
+
"validation": 12
|
| 233 |
+
},
|
| 234 |
+
"x_8_y_0": {
|
| 235 |
+
"test": 6,
|
| 236 |
+
"train": 72,
|
| 237 |
+
"validation": 8
|
| 238 |
+
},
|
| 239 |
+
"x_8_y_1": {
|
| 240 |
+
"test": 14,
|
| 241 |
+
"train": 124,
|
| 242 |
+
"validation": 15
|
| 243 |
+
},
|
| 244 |
+
"x_8_y_2": {
|
| 245 |
+
"test": 19,
|
| 246 |
+
"train": 165,
|
| 247 |
+
"validation": 20
|
| 248 |
+
},
|
| 249 |
+
"x_8_y_3": {
|
| 250 |
+
"test": 12,
|
| 251 |
+
"train": 97,
|
| 252 |
+
"validation": 12
|
| 253 |
+
},
|
| 254 |
+
"x_9_y_0": {
|
| 255 |
+
"test": 7,
|
| 256 |
+
"train": 58,
|
| 257 |
+
"validation": 7
|
| 258 |
+
},
|
| 259 |
+
"x_9_y_1": {
|
| 260 |
+
"test": 10,
|
| 261 |
+
"train": 115,
|
| 262 |
+
"validation": 13
|
| 263 |
+
},
|
| 264 |
+
"x_9_y_2": {
|
| 265 |
+
"test": 17,
|
| 266 |
+
"train": 145,
|
| 267 |
+
"validation": 17
|
| 268 |
+
},
|
| 269 |
+
"x_9_y_3": {
|
| 270 |
+
"test": 11,
|
| 271 |
+
"train": 101,
|
| 272 |
+
"validation": 12
|
| 273 |
+
}
|
| 274 |
+
},
|
| 275 |
+
"source_dirs": 53,
|
| 276 |
+
"total": 7362
|
| 277 |
+
}
|
metadata/schema.json
CHANGED
|
@@ -27,18 +27,18 @@
|
|
| 27 |
},
|
| 28 |
"wavelength_nm": {
|
| 29 |
"type": "int32",
|
| 30 |
-
"required":
|
| 31 |
-
"description": "Measurement wavelength in nanometers."
|
| 32 |
},
|
| 33 |
"patch_id": {
|
| 34 |
"type": "string",
|
| 35 |
"required": false,
|
| 36 |
-
"description": "Patch identifier for
|
| 37 |
},
|
| 38 |
"target_encoding": {
|
| 39 |
"type": "string",
|
| 40 |
"required": false,
|
| 41 |
-
"description": "Encoding of target values. Spectral
|
| 42 |
},
|
| 43 |
"plate_type": {
|
| 44 |
"type": "string",
|
|
@@ -63,12 +63,12 @@
|
|
| 63 |
"mueller_shape": {
|
| 64 |
"type": "int32[3]",
|
| 65 |
"required": true,
|
| 66 |
-
"description": "Stored tensor shape. External waveplate rows are [16, 200, 200]; external_spectral_* rows are [16, 256, 256]."
|
| 67 |
},
|
| 68 |
"target_shape": {
|
| 69 |
"type": "int32[3]",
|
| 70 |
"required": true,
|
| 71 |
-
"description": "Stored tensor shape. External waveplate rows are [6, 200, 200]; external_spectral_* rows are [6, 256, 256]."
|
| 72 |
},
|
| 73 |
"mueller": {
|
| 74 |
"type": "float32[channel,height,width]",
|
|
@@ -82,7 +82,6 @@
|
|
| 82 |
}
|
| 83 |
},
|
| 84 |
"todo": [
|
| 85 |
-
"Confirm final column set before Parquet conversion.",
|
| 86 |
"Decide whether to include preview_png or summary statistics."
|
| 87 |
]
|
| 88 |
}
|
|
|
|
| 27 |
},
|
| 28 |
"wavelength_nm": {
|
| 29 |
"type": "int32",
|
| 30 |
+
"required": false,
|
| 31 |
+
"description": "Measurement wavelength in nanometers. External rows provide this value; healthy_bone_cell rows use null when no single wavelength label is available."
|
| 32 |
},
|
| 33 |
"patch_id": {
|
| 34 |
"type": "string",
|
| 35 |
"required": false,
|
| 36 |
+
"description": "Patch identifier for patch-based rows, e.g. patch_0000."
|
| 37 |
},
|
| 38 |
"target_encoding": {
|
| 39 |
"type": "string",
|
| 40 |
"required": false,
|
| 41 |
+
"description": "Encoding of target values. Spectral and healthy_bone_cell PNG-derived rows use png_uint8_normalized_to_float32_0_1."
|
| 42 |
},
|
| 43 |
"plate_type": {
|
| 44 |
"type": "string",
|
|
|
|
| 63 |
"mueller_shape": {
|
| 64 |
"type": "int32[3]",
|
| 65 |
"required": true,
|
| 66 |
+
"description": "Stored tensor shape. External waveplate rows are [16, 200, 200]; external_spectral_* and healthy_bone_cell rows are [16, 256, 256]."
|
| 67 |
},
|
| 68 |
"target_shape": {
|
| 69 |
"type": "int32[3]",
|
| 70 |
"required": true,
|
| 71 |
+
"description": "Stored tensor shape. External waveplate rows are [6, 200, 200]; external_spectral_* and healthy_bone_cell rows are [6, 256, 256]."
|
| 72 |
},
|
| 73 |
"mueller": {
|
| 74 |
"type": "float32[channel,height,width]",
|
|
|
|
| 82 |
}
|
| 83 |
},
|
| 84 |
"todo": [
|
|
|
|
| 85 |
"Decide whether to include preview_png or summary statistics."
|
| 86 |
]
|
| 87 |
}
|
metadata/split_summary.json
CHANGED
|
@@ -1,23 +1,29 @@
|
|
| 1 |
{
|
| 2 |
-
"split_policy": "
|
| 3 |
-
"leakage_note": "
|
| 4 |
"splits": {
|
| 5 |
"train": {
|
| 6 |
"subset": "healthy_bone_cell",
|
| 7 |
"specimen_type": "healthy_bone_cell",
|
| 8 |
-
"samples":
|
|
|
|
|
|
|
| 9 |
"path_pattern": "data/train-*.parquet"
|
| 10 |
},
|
| 11 |
"validation": {
|
| 12 |
"subset": "healthy_bone_cell",
|
| 13 |
"specimen_type": "healthy_bone_cell",
|
| 14 |
-
"samples":
|
|
|
|
|
|
|
| 15 |
"path_pattern": "data/validation-*.parquet"
|
| 16 |
},
|
| 17 |
"test": {
|
| 18 |
"subset": "healthy_bone_cell",
|
| 19 |
"specimen_type": "healthy_bone_cell",
|
| 20 |
-
"samples":
|
|
|
|
|
|
|
| 21 |
"path_pattern": "data/test-*.parquet"
|
| 22 |
},
|
| 23 |
"external_waveplate": {
|
|
|
|
| 1 |
{
|
| 2 |
+
"split_policy": "Source-provided patch split from polarization_v2 healthy_bone_cell folders. Each source folder contains train, val, and test subfolders.",
|
| 3 |
+
"leakage_note": "healthy_bone_cell splits follow the existing source-folder patch split. Multiple patches from the same source_id can appear across train, validation, and test, so users who need specimen-level isolation should rebuild splits from metadata/healthy_bone_cell_manifest.jsonl.",
|
| 4 |
"splits": {
|
| 5 |
"train": {
|
| 6 |
"subset": "healthy_bone_cell",
|
| 7 |
"specimen_type": "healthy_bone_cell",
|
| 8 |
+
"samples": 6006,
|
| 9 |
+
"source_dirs": 53,
|
| 10 |
+
"shards": 94,
|
| 11 |
"path_pattern": "data/train-*.parquet"
|
| 12 |
},
|
| 13 |
"validation": {
|
| 14 |
"subset": "healthy_bone_cell",
|
| 15 |
"specimen_type": "healthy_bone_cell",
|
| 16 |
+
"samples": 713,
|
| 17 |
+
"source_dirs": 53,
|
| 18 |
+
"shards": 12,
|
| 19 |
"path_pattern": "data/validation-*.parquet"
|
| 20 |
},
|
| 21 |
"test": {
|
| 22 |
"subset": "healthy_bone_cell",
|
| 23 |
"specimen_type": "healthy_bone_cell",
|
| 24 |
+
"samples": 643,
|
| 25 |
+
"source_dirs": 53,
|
| 26 |
+
"shards": 11,
|
| 27 |
"path_pattern": "data/test-*.parquet"
|
| 28 |
},
|
| 29 |
"external_waveplate": {
|