Datasets:
File size: 1,806 Bytes
83a780e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | # 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`
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