Update dataset card

README.md

@@ -19,7 +19,7 @@ PyTorch golden reference dumps for [**jepa.cpp**](https://github.com/aselimc/jep
 JEPA family. `tests/test-parity` and `tests/test-predictor` replay these tensors through the engine and
 gate per-token cosine, pooled outputs and classifier top-1/top-5 against per-family thresholds.
 
-Generated from jepa.cpp `main` @ [`9fa6d74`](https://github.com/aselimc/jepa.cpp/commit/9fa6d74) with
+Generated from jepa.cpp `main` @ [`c952229`](https://github.com/aselimc/jepa.cpp/commit/c952229) with
 `scripts/dump_reference.py --model all`, in float32 eval mode on 32 CPU threads, no autocast.
 
 ## Contents
@@ -30,11 +30,13 @@ Generated from jepa.cpp `main` @ [`9fa6d74`](https://github.com/aselimc/jepa.cpp
 | `ref/lejepa-vits16/` | LeJEPA ViT-S/16 (IN1k) | 41 | 7 MB |
 | `ref/levjepa-vitl16/` | LeVJEPA ViT-L/16 (VideoMix) | 21 | 136 MB |
 | `ref/lewm-pusht/` | LeWorldModel Push-T | 20 | 3 MB |
+| `ref/vjepa2-ac-vitg/` | V-JEPA 2-AC ViT-g (action-conditioned world model) | 27 | 33 MB |
+| `ref/vjepa2-vitg-fpc64-256/` | V-JEPA 2 ViT-g/16 (fpc64, 256) | 21 | 429 MB |
 | `ref/vjepa2-vitl-fpc16-256-ssv2/` | V-JEPA 2 ViT-L/16 SSv2 classifier | 13 | 56 MB |
 | `ref/vjepa2-vitl-fpc64-256/` | V-JEPA 2 ViT-L/16 (fpc64, 256) | 21 | 366 MB |
 | `ref/vjepa2_1-vitb-384/` | V-JEPA 2.1 ViT-B/16 @384 | 15 | 107 MB |
 
-156 files, 691 MB in total.
+204 files, 1153 MB in total.
 
 ## Layout