| # Data Assets |
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| There are three distinct data layers. Do not collapse them when uploading or restoring. |
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| ## 1. Original Raw Data |
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| Original source data is PanTS: |
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| `/scratch/user/yuhwang/dataset/PanTS` |
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| Approximate size observed before packaging: 371G. |
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| Structure: |
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| - `data/ImageTr`: training images/volumes |
| - `data/ImageTe`: test images/volumes |
| - `data/LabelTr`: training labels |
| - `data/LabelTe`: test labels |
| - `data/metadata.xlsx`: raw metadata table |
| - `repo`: PanTS source README/license/download scripts |
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| Raw data is packaged separately under `pants_raw_train_test_20260523_102411`. |
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| ## 2. VAE Latent Cache |
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| Derived VAE cache used by the training dataloader: |
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| `/scratch/user/yuhwang/dataset/pants-captions-ldm/cache/wan22_pants_v2_softwin/latents` |
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| This stores pre-encoded Wan2.2 VAE latents as `.safetensors`. The train manifest references these via `latent_path`. |
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| ## 3. Text Cache |
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| Derived text embedding cache: |
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| `/scratch/user/yuhwang/dataset/pants-captions-ldm/cache/wan22_pants_v2_softwin/text_embeddings` |
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| The main training manifest is: |
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| `captions_embedded/source_train.jsonl` |
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| Observed row count: 53,784. |
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| Observed bucket counts: |
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| - `B-whole`: 21,690 |
| - `B-CA`: 11,365 |
| - `B-CAP`: 10,980 |
| - `P-pan`: 8,784 |
| - `B-abd-pelvis`: 490 |
| - `B-abd`: 475 |
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| The manifest fields include `bucket_id`, `caption`, `latent_path`, `latent_shape`, `text_embedding_path`, `text_embedding_shape`, and CT metadata fields. |
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| ## Cache Archive Included Here |
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| `cache/wan22_pants_v2_softwin.tar.zst.part-*` is a split tar+zstd archive of the full derived cache directory. It includes: |
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| - `latents/`: VAE latent cache |
| - `text_embeddings/`: text embedding cache |
| - `captions/`: caption jsonl files |
| - `captions_embedded/`: embedded-caption manifests used by training |
| - `manifests/`: pre-embedding manifest layer |
| - `cache_config.json` |
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