Update README.md

README.md

@@ -16,15 +16,15 @@ This dataset includes 8 episodes of pong-v4 environment. The expert policy is Ef
 A data point comprises tuples of sequences of (observations, actions, hidden_states):
 ```
 {
-    "obs":datasets.Array2D(),
-    "actions":datasets.Array2D(),
-    "hidden_state":datasets.Array2D(),
+    "obs":datasets.Array3D(),
+    "actions":int,
+    "hidden_state":datasets.Array3D(),
 }
 ```
 ### Data Fields
-- `obs`: An Array2D containing observations from 8 trajectories of an evaluated agent.
-- `actions`: An Array2D containing actions from 8 trajectories of an evaluated agent.
-- `hidden_state`: An Array2D containing corresponding hidden states generated by EfficientZero, from 8 trajectories of an evaluated agent.
+- `obs`: An Array3D containing observations from 8 trajectories of an evaluated agent. The data type is uint8 and each value is in 0 to 255.
+- `actions`: An integer containing actions from 8 trajectories of an evaluated agent. This value is from 0 to 5.
+- `hidden_state`: An Array3D containing corresponding hidden states generated by EfficientZero, from 8 trajectories of an evaluated agent. The data type is float32.
 
 ### Data Splits
 There is only a training set for this dataset, as evaluation is undertaken by interacting with a simulator.