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Configure dataset viewer image column

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  1. README.md +15 -0
README.md CHANGED
@@ -9,6 +9,11 @@ tags:
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  - biomedical-imaging
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  - image-classification
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  pretty_name: Lurcher 10x Microscopy
 
 
 
 
 
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  ---
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  # Lurcher 10x Microscopy Dataset
@@ -43,6 +48,16 @@ Each row has a path relative to the dataset repository root and a normalized cla
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  `train.jsonl` is the active-learning candidate pool. `val.jsonl` is the validation split used by the APT code. `test.jsonl` is the held-out evaluation split. `seed.json` contains the initial seed prompt examples used before active selection starts.
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  ## Metadata
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  - `metadata/images.csv`: one row per image with class and case id.
 
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  - biomedical-imaging
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  - image-classification
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  pretty_name: Lurcher 10x Microscopy
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+ configs:
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+ - config_name: viewer
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+ data_files:
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+ - split: folds
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+ path: viewer/lurcher_folds.parquet
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  ---
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  # Lurcher 10x Microscopy Dataset
 
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  `train.jsonl` is the active-learning candidate pool. `val.jsonl` is the validation split used by the APT code. `test.jsonl` is the held-out evaluation split. `seed.json` contains the initial seed prompt examples used before active selection starts.
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+ ## Dataset Viewer
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+
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+ The Hub dataset viewer uses:
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+
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+ ```text
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+ viewer/lurcher_folds.parquet
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+ ```
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+
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+ This table mirrors the released fold manifests and includes both `image_path` and an `image` column so the viewer can render thumbnails directly.
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+
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  ## Metadata
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  - `metadata/images.csv`: one row per image with class and case id.