Update README.md

README.md

@@ -5,7 +5,7 @@ size_categories:
 - 10M<n<100M
 viewer: false
 ---
-Raw Dataset for the [1X World Model Challenge](https://github.com/1x-technologies/1xgpt).
+Raw Dataset for the [1X World Model Sammpling Challenge](https://huggingface.co/spaces/1x-technologies/1X_World_Model_Challenge_Sampling).
 
 Download with:
 ```
@@ -13,8 +13,7 @@ huggingface-cli download 1x-technologies/worldmodel_raw_data --repo-type dataset
 ```
 
 
-Contents of train/val_v2.0:
-
+## Train/Val v2.0
 The training dataset is shareded into 100 independent shards. The definitions are as follows:
 
 - **video_{shard}.mp4**: Raw video with a resolution of 512x512.
@@ -22,6 +21,12 @@ The training dataset is shareded into 100 independent shards. The definitions ar
 - **states_{shard}.bin** - States arrays (defined below in `Index-to-State Mapping`) stored in `np.float32` format. For frame `i`, the corresponding state is represented by `states_{shard}[i]`.
 - **metadata** - The `metadata.json` file provides high-level information about the entire dataset, while `metadata_{shard}.json` files contain specific details for each shard. 
 
+## Test v2.0
+
+We provide a 250 sample **test_v2.0** dataset for the [World Model Compression Challenge](https://huggingface.co/spaces/1x-technologies/1X_World_Model_Challenge_Sampling) with a similar structure (`video_{shard}.bin`, `states_{shard}.bin`). Use:
+- `unpack_data_test.py` to read the test set
+- `unpack_data_train_val.py` to read train/val
+---
   #### Index-to-State Mapping (NEW)
   ```
    {