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README.md
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@@ -33,14 +33,17 @@ For each embedding model, the directory contains two key file:
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| Data | Description |
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|-------|-------------|
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| `centroids.npy` |
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| `tree_info.pkl` | tree metadata with parent and leaf info |
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## Data Fields
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- Centroids: `centroids.npy`
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- numpy array(`np.ndarray`) with 768-dimensional 32,768 centroids
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- Tree Metadata: `tree_info.pkl`
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- keys: node_parents, leaf_ids, and leaf_to_centroid_idx
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- Detailed parsing information is provided in `es2`
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| Data | Description |
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|-------|-------------|
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| `centroids.npy` | centroids as followed IVF |
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| `tree_info.pkl` | tree metadata with parent and leaf info |
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## Data Fields
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- Centroids: `centroids.npy`
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- This data is for finding the nearest clusters for IVF
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- numpy array(`np.ndarray`) with 768-dimensional 32,768 centroids
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- Tree Metadata: `tree_info.pkl`
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- This data is for finding the virtual cluster following tree structure
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- keys: node_parents, leaf_ids, and leaf_to_centroid_idx
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- Detailed parsing information is provided in `es2`
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