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README.md

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+---
+license: mit
+dataset_info:
+  features:
+    - name: action
+      dtype: numpy
+    - name: observation.state
+      dtype: numpy
+    - name: observation.images.phone
+      dtype: video
+    - name: observation.images.gripper
+      dtype: video
+  splits:
+    - name: train
+      num_examples: 100
+  task_categories:
+    - robotics
+tags:
+  - robotics
+  - augmented
+  - robot-manipulation
+  - data-augmentation
+---
+
+# LeRobot Augmented Dataset
+
+This dataset is an augmented version of the original LeRobot dataset. The augmentation expands the dataset by creating 4 versions of each original episode:
+
+1. **Original data** - preserved as-is
+2. **Horizontally flipped images** - original action/state vectors
+3. **Shoulder pan negated** - original images with shoulder pan values negated in action/state vectors
+4. **Both flipped and negated** - horizontally flipped images with negated shoulder pan values
+
+## Augmentation Process
+
+The augmentation process quadruples the size of the dataset by creating three variants of each original episode:
+
+- **Image flipping**: Horizontally flipping camera frames to simulate the robot operating from the opposite side
+- **Action negation**: Negating shoulder pan values to simulate opposite directional movement
+- **Combined augmentation**: Both flipping images and negating shoulder pan values
+
+This 4x expansion provides more diverse training data for robotic control tasks, helping models generalize better to different perspectives and movement directions.
+
+## Original Task
+
+The dataset contains episodes where a robot is performing the task: "Pick up the black pen and place it in the mug."
+
+## Structure
+
+The dataset maintains the same structure as the original:
+- `data/`: Contains episode data in parquet format (4x the original amount)
+- `videos/`: Contains video recordings of episodes (4x the original amount)
+- `meta/`: Contains metadata about the dataset