Update README.md

README.md

@@ -1,4 +1,13 @@
 ---
+license: mit
+task_categories:
+- image-to-image
+- text-to-image
+language:
+- en
+pretty_name: Robotic Action Prediction Dataset using RoboTwin
+size_categories:
+- 10K<n<100K
 dataset_info:
   features:
   - name: current_frame
@@ -24,3 +33,39 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+
+# Robotic Action Prediction Dataset
+
+## Dataset Description
+
+This dataset contains triplets of (current observation, action instruction, future observation) for training models to predict future frames of robotic actions.
+
+## Dataset Structure
+
+### Data Fields
+- `current_frame`: Input image (RGB) of the current observation
+- `instruction`: Textual description of the action to perform
+- `future_frame`: Target image (RGB) showing the expected outcome 50 frames later
+
+### Data Splits
+The dataset contains:
+- Total samples: ~91,303 (300 episodes × 304 frames average per episode)
+- Tasks:
+  - `block_hammer_beat`: "beat the block with the hammer"
+  - `block_handover`: "handover the blocks" 
+  - `blocks_stack_easy`: "stack blocks"
+
+### Dataset Statistics
+| Task                | Episodes | Frames per Episode |
+|---------------------|----------|--------------------|
+| block_hammer_beat   | 100      | 200-300            |
+| block_handover      | 100      | 400-500            |
+| blocks_stack_easy   | 100      | 400-500            |
+
+## Dataset Creation
+
+### Source Data
+- **Simulation Environment:** RoboTwin
+- **Image Resolution:** At least 128×128 pixels
+- **Frame Offset:** 50 frames between input and target