Add detailed usage examples

README.md

@@ -64,20 +64,55 @@ This dataset contains tasks 0-9 from the original dataset:
 
 ## Usage
 
+### Using LeRobot (Recommended for Robotics)
+
+```python
+from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
+
+# Load the dataset with video support
+ds = LeRobotDataset("ases200q2/libero_object")
+
+# Access episodes with video frames
+for i in range(len(ds)):
+    sample = ds[i]
+    # sample['observation.images.image'] - numpy array of shape (H, W, C)
+    # sample['observation.state'] - robot state
+    # sample['action'] - action
+```
+
+### Using Hugging Face Datasets
+
 ```python
 from datasets import load_dataset
 
 # Load the dataset
 ds = load_dataset("ases200q2/libero_object")
-
-# Access training data
 train_data = ds["train"]
 
-# Iterate through episodes
-for episode in train_data:
-    state = episode["observation.state"]
-    action = episode["action"]
-    # ... your training code
+# Access individual frames
+for frame in train_data:
+    state = frame["observation.state"]  # robot joint state
+    action = frame["action"]            # robot action
+    # Note: Videos are stored externally as MP4 files
+    # Use LeRobotDataset for automatic video loading
+```
+
+### For Training with LeRobot
+
+```python
+from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
+from torch.utils.data import DataLoader
+
+# Load dataset
+dataset = LeRobotDataset("ases200q2/libero_object")
+
+# Create dataloader
+dataloader = DataLoader(dataset, batch_size=32, shuffle=True)
+
+# Training loop
+for batch in dataloader:
+    # batch contains observations and actions
+    pass
 ```
 
 ## Citation