# Data Assets

There are three distinct data layers. Do not collapse them when uploading or restoring.

## 1. Original Raw Data

Original source data is PanTS:

`/scratch/user/yuhwang/dataset/PanTS`

Approximate size observed before packaging: 371G.

Structure:

- `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

Raw data is packaged separately under `pants_raw_train_test_20260523_102411`.

## 2. VAE Latent Cache

Derived VAE cache used by the training dataloader:

`/scratch/user/yuhwang/dataset/pants-captions-ldm/cache/wan22_pants_v2_softwin/latents`

This stores pre-encoded Wan2.2 VAE latents as `.safetensors`. The train manifest references these via `latent_path`.

## 3. Text Cache

Derived text embedding cache:

`/scratch/user/yuhwang/dataset/pants-captions-ldm/cache/wan22_pants_v2_softwin/text_embeddings`

The main training manifest is:

`captions_embedded/source_train.jsonl`

Observed row count: 53,784.

Observed bucket counts:

- `B-whole`: 21,690
- `B-CA`: 11,365
- `B-CAP`: 10,980
- `P-pan`: 8,784
- `B-abd-pelvis`: 490
- `B-abd`: 475

The manifest fields include `bucket_id`, `caption`, `latent_path`, `latent_shape`, `text_embedding_path`, `text_embedding_shape`, and CT metadata fields.

## Cache Archive Included Here

`cache/wan22_pants_v2_softwin.tar.zst.part-*` is a split tar+zstd archive of the full derived cache directory. It includes:

- `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`