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Repackage: per-split parquets + YAML configs (name=real/companion/per-tissue)

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README.md CHANGED
@@ -11,6 +11,71 @@ tags:
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  - benchmark
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  size_categories:
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  - 100K<n<1M
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # SenoMorph
@@ -33,10 +98,10 @@ Datasets & Benchmarks submission.
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  | Companion (skin) | 16,844 | 168,440 (×10) |
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  | **Companion total** | **87,391** | **873,910** |
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- Each instance carries five attributes: `tissue`, `cell_type_name`,
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- `senescence_score`, `nuclear_area` (mask pixel count, threshold > 10),
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- and `dapi_intensity` (mean intensity within mask). The image is a
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- `64×64` grayscale uint8 DAPI crop.
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  ## Splits
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@@ -59,11 +124,49 @@ metric in the accompanying paper.
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  ## Loading
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  ```python
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  from datasets import load_dataset
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- real = load_dataset('anon-neuripsdb26/SenoMorph', name='real', split='train')
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- comp = load_dataset('anon-neuripsdb26/SenoMorph', name='companion', split='train')
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  ## License
 
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  - benchmark
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  size_categories:
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  - 100K<n<1M
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+ configs:
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+ - config_name: real
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+ data_files:
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+ - split: train
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+ path: real-*-train.parquet
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+ - split: validation
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+ path: real-*-val.parquet
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+ - split: test
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+ path: real-*-test.parquet
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+ - config_name: companion
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+ data_files:
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+ - split: train
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+ path: companion-*-train.parquet
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+ - split: validation
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+ path: companion-*-val.parquet
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+ - split: test
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+ path: companion-*-test.parquet
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+ - config_name: real_lung
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+ data_files:
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+ - split: train
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+ path: real-lung-train.parquet
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+ - split: validation
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+ path: real-lung-val.parquet
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+ - split: test
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+ path: real-lung-test.parquet
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+ - config_name: real_prostate
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+ data_files:
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+ - split: train
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+ path: real-prostate-train.parquet
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+ - split: validation
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+ path: real-prostate-val.parquet
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+ - split: test
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+ path: real-prostate-test.parquet
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+ - config_name: real_skin
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+ data_files:
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+ - split: train
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+ path: real-skin-train.parquet
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+ - split: validation
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+ path: real-skin-val.parquet
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+ - split: test
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+ path: real-skin-test.parquet
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+ - config_name: companion_lung
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+ data_files:
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+ - split: train
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+ path: companion-lung-train.parquet
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+ - split: validation
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+ path: companion-lung-val.parquet
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+ - split: test
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+ path: companion-lung-test.parquet
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+ - config_name: companion_prostate
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+ data_files:
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+ - split: train
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+ path: companion-prostate-train.parquet
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+ - split: validation
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+ path: companion-prostate-val.parquet
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+ - split: test
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+ path: companion-prostate-test.parquet
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+ - config_name: companion_skin
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+ data_files:
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+ - split: train
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+ path: companion-skin-train.parquet
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+ - split: validation
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+ path: companion-skin-val.parquet
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+ - split: test
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+ path: companion-skin-test.parquet
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  ---
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  # SenoMorph
 
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  | Companion (skin) | 16,844 | 168,440 (×10) |
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  | **Companion total** | **87,391** | **873,910** |
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+ Each instance carries five attributes (paper §2 attribute card):
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+ `tissue`, `cell_type_name`, `senescence_score`, `nuclear_area` (mask
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+ pixel count, threshold > 10), and `dapi_intensity` (mean intensity
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+ within the mask). The image is a `64×64` grayscale uint8 DAPI crop.
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  ## Splits
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  ## Loading
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+ Available configs:
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+
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+ | `name=` | Description |
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+ |---|---|
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+ | `real` | All three tissues, real DAPI cells |
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+ | `companion` | All three tissues, generated companion cells |
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+ | `real_lung` / `real_prostate` / `real_skin` | Real cells, single tissue |
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+ | `companion_lung` / `companion_prostate` / `companion_skin` | Companion cells, single tissue |
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+
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+ Each config has `train`, `validation`, and `test` splits.
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+
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  ```python
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  from datasets import load_dataset
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+ # Full real benchmark, training split (3 tissues combined)
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+ real_train = load_dataset('anon-neuripsdb26/SenoMorph', name='real', split='train')
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+
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+ # Real lung test split only
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+ lung_test = load_dataset('anon-neuripsdb26/SenoMorph', name='real_lung', split='test')
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+
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+ # Companion data (873,910 generated cells), train split
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+ comp_train = load_dataset('anon-neuripsdb26/SenoMorph', name='companion', split='train')
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+
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+ # Companion skin only, validation split
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+ skin_val_comp = load_dataset('anon-neuripsdb26/SenoMorph', name='companion_skin', split='validation')
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+ ```
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+
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+ ## Schema
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+
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+ ```
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+ image PIL.Image (grayscale 64×64, PNG-encoded)
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+ tissue str ('lung' | 'prostate' | 'skin')
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+ cell_type_id int32 (raw CellTypist integer)
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+ cell_type_name str ('Epithelial cells' | 'T cells' | 'Fibroblasts' | ...)
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+ senescence_score float32 in [0, 1]
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+ real: DeepScence min-max norm within tissue
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+ companion: target conditioning score from linspace(0,1,10)
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+ nuclear_area int32 (mask pixel count, threshold > 10)
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+ dapi_intensity float32 (mean intensity within mask)
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+ split str ('train' | 'val' | 'test')
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+ cell_id int64
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+ real: row index in source set
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+ companion: source real cell id (10 companion rows share a cell_id)
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  ```
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  ## License
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