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