Sync dataset card title and 2-shot / 354-step Gemma 4 AR framing

README.md

@@ -14,7 +14,7 @@ size_categories:
 
 # DiffusionGemma 2: Latent Code-Graph Benchmarks & Raw Predictions
 
-Standardized AST code-graph benchmark packs, continuous symbol embeddings, pre-registration (`PREREG.json`), linear evaluation probes, and **raw `.npy` and `.npz` model prediction arrays** for independent CPU rescoring of ***Latent Roadmaps: DiffusionGemma State Transitions for Code-Graph Refactoring***.
+Standardized AST code-graph benchmark packs, continuous symbol embeddings, pre-registration (`PREREG.json`), linear evaluation probes, and **raw `.npy` and `.npz` model prediction arrays** for independent CPU rescoring of ***Latent Roadmaps: Soft-Token Re-Feeding in DiffusionGemma for Code Graphs***.
 
 - **Author:** `bumblebeers` ([GitHub](https://github.com/bumblebeers))
 - **License:** Apache-2.0
@@ -45,7 +45,7 @@ Standardized AST code-graph benchmark packs, continuous symbol embeddings, pre-r
 ### 3. Raw Model Prediction Arrays (`predictions/` & `outputs/m2/decoded_grids_all_arms.npz`)
 To enable full independent verification without requiring a 26B GPU, this dataset hosts **both** continuous latent `.npy` outputs and Ridge-decoded discrete `(M, 16, 16)` `uint8` grid `.npy`/`.npz` files:
 - **`predictions/expA_hv/<arm>/preds_*.npy`**: Raw continuous predicted SigLIP latent tensors (`360 x 256 x 1152`, `float32`) emitted by `stock_generate_with_readout` for two-seed LoRA DG (`cg_lora_dg_seed42_ep3`, `cg_lora_dg_seed1337_ep3`), `cg_frozen_dg_ep3`, and Non-DG baselines.
-- **`predictions/expA_grids/<arm>/*.npy`** & **`outputs/m2/decoded_grids_all_arms.npz`**: Decoded `(360, 16, 16)` `uint8` palette grids (`0..7`) across all evaluated arms — two-seed LoRA DG (`httpx` and two-seed zero-shot `click`), Frozen DG, two-seed Non-DG (`Frozen Instr` and `Enc LoRA`), and matched `google/gemma-4-26B-A4B-it` autoregressive baselines (`gemma4_ar_prompted` and `gemma4_ar_lora_r64_s42` across all 4 primary splits).
+- **`predictions/expA_grids/<arm>/*.npy`** & **`outputs/m2/decoded_grids_all_arms.npz`**: Decoded `(360, 16, 16)` `uint8` palette grids (`0..7`) across all evaluated arms — two-seed LoRA DG (`httpx` and two-seed zero-shot `click`), Frozen DG, two-seed Non-DG (`Frozen Instr` and `Enc LoRA`), and preliminary `google/gemma-4-26B-A4B-it` autoregressive references (2-shot `gemma4_ar_prompted` and 354-of-4,824-step single-seed `gemma4_ar_lora_r64_s42` across all 4 primary splits).
 - **`predictions/expB_vec/<arm>/*.npy`**: Raw standardized continuous symbol-vector predictions (`M x 256 x 384`, `float32`) for two-seed Experiment B LoRA DG (`cg_expB_lora_dg_seed42_ep3`, `cg_expB_lora_dg_seed1337_ep3`) and two-seed Non-DG baselines.
 
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