# Dataset layout

All data files are stored physically under `dataset/`. There are no symlinks.

| Path | Meaning | Consumed by |
|---|---|---|
| `dataset/source_csv/` | Original clustered CSV traces for 20 devices | pair/outpaint precompute and raw evaluation |
| `dataset/windows_v5/` | Time-ordered 256-token windows before V2 tokenization | V2 conversion and condition reconstruction |
| `dataset/tokenized_v2/` | VAE-ready DELTA-256 + RETURN-32 representation | VAE training and decoding |
| `dataset/precomputed/singlegen/` | VAE latents plus 7-D conditions for individual windows | single-window DiT |
| `dataset/precomputed/outgen/` | Prefix/suffix latent pairs plus 14-D conditions | outpaint DiT |

The flow is:

```text
source_csv ────────────────┐
                          ├─> precomputed/outgen ─> checkpoints/outgen
windows_v5 ─> tokenized_v2┤
                          └─> precomputed/singlegen ─> checkpoints/singlegen
                    └────────> checkpoints/vae
```

`precomputed` is still data, not a model checkpoint. It contains frozen VAE
latent tensors used to avoid encoding all windows again during DiT training.
The actual learned weights live only under `checkpoints/`.