Update README.md

README.md

@@ -12,13 +12,18 @@ Download with:
 huggingface-cli download 1x-technologies/worldmodel --repo-type dataset --local-dir data
 ```
 
-Current version: v2.0
+Changes from v1.1:
+- New train and val dataset of 100 hours, replacing the v1.1 datasets
+- Blur applied to faces
 
-Contents of train/val_v2.0
-- **videos** - 
-- **segment_indicies** - For video `i` and frame `j`, `segment_idx_i[j]` uniquely points to the segment index that frame `j` came from. You may want to use this to separate non-contiguous frames from different videos (transitions).
-- **robot_states** - States arrays defined in `Index-to-Joint Mapping` stored in `np.float32` format. For video `i` and frame `j`, the corresponding state is given by `states_i[j]`.
-- **metadata** - The `metadata.json` file provides high-level information about the entire dataset, while `metadata_[i].json` files contain specific details for each individual video `i`.
+Contents of train/val_v2.0:
+
+The training dataset is shareded into 100 independent shards. The shapes and definitions of the arrays are as follows (N is the number of frames).
+
+- **video_{shard}.bin**: 8x8x8 image patches at 30hz, with 17 frame temporal window, encoded using [NVIDIA Cosmos Tokenizer](https://github.com/NVIDIA/Cosmos-Tokenizer).
+- **segment_indicies** - For video `n` and frame `i`, `segment_idx_n[i]` uniquely points to the segment index that frame `i` came from. You may want to use this to separate non-contiguous frames from different videos (transitions).
+- **robot_states** - States arrays defined in `Index-to-State Mapping` stored in `np.float32` format. For video `n` and frame `i`, the corresponding state is given by `states_n[i]`.
+- **metadata** - The `metadata.json` file provides high-level information about the entire dataset, while `metadata_[n].json` files contain specific details for each individual video `n`.
 
   #### Index-to-State Mapping (NEW)
   ```