Datasets:
Configure dataset viewer image column
Browse files
README.md
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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
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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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The Hub dataset viewer uses:
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```text
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viewer/lurcher_folds.parquet
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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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## Metadata
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- `metadata/images.csv`: one row per image with class and case id.
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