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Browse files- README.md +181 -0
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- dataset_info.json +44 -0
- state.json +13 -0
README.md
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---
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license: apache-2.0
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task_categories:
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- robotics
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tags:
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- LeRobot
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- multi-robot
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- manipulation
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- bone-picking
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configs:
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- config_name: default
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data_files: data/*/*.parquet
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---
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# Bone to Pick - Combined Dataset (10_08 + 10_09)
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This dataset is a merged combination of two Bone to Pick datasets from Hugging Face:
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- [oordonez/Bone_to_Pick_10_08](https://huggingface.co/datasets/oordonez/Bone_to_Pick_10_08)
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- [oordonez/Bone_to_Pick_10_09](https://huggingface.co/datasets/oordonez/Bone_to_Pick_10_09)
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## Dataset Description
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This dataset was created using [LeRobot](https://github.com/huggingface/lerobot) and contains bi-manual robot manipulation data for a bone picking task. The dataset combines 20 episodes (10 from each original dataset) with updated episode numbering to avoid conflicts.
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### Key Features:
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- **Total Episodes**: 20 (episodes 0-19)
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- **Total Frames**: 7,788 (after dead time removal)
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- **Total Videos**: 60 (3 camera views × 20 episodes)
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- **Robot Type**: Dual-arm manipulation (white + blue follower arms)
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- **Task**: Grasp the blue bone and place it inside the box
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### Camera Views:
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1. `observation.images.my_blue_follower_arm_front` (640×480, H.264)
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2. `observation.images.my_white_follower_arm_front` (640×480, H.264)
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3. `observation.images.my_white_follower_arm_global_top` (1280×720, H.264)
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## Dataset Structure
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### Data Format:
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- **Action Space**: 12-dimensional float32 arrays
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- 6 joints for white follower arm
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- 6 joints for blue follower arm
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- **Observation Space**: 12-dimensional float32 arrays (same as action)
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- **Timestamps**: float32 timestamps
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- **Frame Indices**: int64 frame numbers within each episode
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- **Episode Indices**: int64 episode numbers (0-19)
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### Joint Names:
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**White Follower Arm:**
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- `my_white_follower_arm_shoulder_pan.pos`
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- `my_white_follower_arm_shoulder_lift.pos`
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- `my_white_follower_arm_elbow_flex.pos`
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- `my_white_follower_arm_wrist_flex.pos`
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- `my_white_follower_arm_wrist_roll.pos`
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- `my_white_follower_arm_gripper.pos`
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**Blue Follower Arm:**
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- `my_blue_follower_arm_shoulder_pan.pos`
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- `my_blue_follower_arm_shoulder_lift.pos`
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- `my_blue_follower_arm_elbow_flex.pos`
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- `my_blue_follower_arm_wrist_flex.pos`
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- `my_blue_follower_arm_wrist_roll.pos`
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- `my_blue_follower_arm_gripper.pos`
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## Processing Details
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### Dead Time Removal:
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- Applied velocity threshold of 0.0001 for joint movement detection
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- Removed 2+ seconds of stationary data at episode ends
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- Total frames removed: 1,496 frames across all episodes
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### Video Processing:
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- Converted all videos from AV1 to H.264 codec for browser compatibility
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- Maintained original frame rates (30 FPS)
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- Preserved video quality and aspect ratios
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### Episode Renumbering:
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- Original dataset 10_08: episodes 0-9 → merged episodes 0-9
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- Original dataset 10_09: episodes 0-9 → merged episodes 10-19
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- All metadata updated to reflect new episode numbering
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## Dataset Viewer Information
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### What You'll See in the Hugging Face Dataset Viewer:
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#### **📊 Data Columns:**
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- **`action`**: 12-element array containing joint positions for both robot arms
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- **`observation.state`**: 12-element array containing current joint states
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- **`timestamp`**: float32 timestamp for each frame
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- **`frame_index`**: int64 frame number within each episode
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- **`episode_index`**: int64 episode number (0-19)
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- **`index`**: int64 global sample index
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- **`task_index`**: int64 task identifier
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#### **🤖 Joint Mapping (12 elements in action/observation arrays):**
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**Indices 0-5: White Follower Arm**
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- Index 0: `my_white_follower_arm_shoulder_pan.pos`
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- Index 1: `my_white_follower_arm_shoulder_lift.pos`
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- Index 2: `my_white_follower_arm_elbow_flex.pos`
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- Index 3: `my_white_follower_arm_wrist_flex.pos`
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- Index 4: `my_white_follower_arm_wrist_roll.pos`
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- Index 5: `my_white_follower_arm_gripper.pos`
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**Indices 6-11: Blue Follower Arm**
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- Index 6: `my_blue_follower_arm_shoulder_pan.pos`
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- Index 7: `my_blue_follower_arm_shoulder_lift.pos`
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- Index 8: `my_blue_follower_arm_elbow_flex.pos`
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- Index 9: `my_blue_follower_arm_wrist_flex.pos`
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- Index 10: `my_blue_follower_arm_wrist_roll.pos`
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- Index 11: `my_blue_follower_arm_gripper.pos`
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#### **🎥 Video Files:**
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- **60 total videos** (3 camera views × 20 episodes)
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- All videos are in H.264 codec for browser compatibility
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- Videos are stored in the `videos/` directory
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## Usage
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### Loading the Dataset:
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```python
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from datasets import load_from_disk
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# Load the dataset
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dataset = load_from_disk('merged_bone_to_pick_combined_hf_fixed')
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# Access a sample
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sample = dataset[0]
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print(f"Action: {sample['action']}")
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print(f"Observation: {sample['observation.state']}")
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print(f"Episode: {sample['episode_index']}")
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# Access joint values by index
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action = sample['action']
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white_arm_joints = action[:6] # First 6 elements
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blue_arm_joints = action[6:] # Last 6 elements
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```
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### Accessing Videos:
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```python
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# Videos are stored in the videos/ directory
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# Each episode has 3 camera views:
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# - observation.images.my_blue_follower_arm_front/episode_XXXXXX.mp4
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# - observation.images.my_white_follower_arm_front/episode_XXXXXX.mp4
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# - observation.images.my_white_follower_arm_global_top/episode_XXXXXX.mp4
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```
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## Dataset Statistics
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| Metric | Value |
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|--------|-------|
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| Total Episodes | 20 |
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| Total Frames | 7,788 |
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| Total Videos | 60 |
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| Average Frames per Episode | 389.4 |
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| Video Codec | H.264 |
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| Frame Rate | 30 FPS |
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| Data Format | LeRobot v2.1 |
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## Citation
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| 160 |
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**BibTeX:**
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```bibtex
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@dataset{merged_bone_to_pick_combined,
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title={Bone to Pick - Combined Dataset (10_08 + 10_09)},
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author={oordonez},
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year={2024},
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publisher={Hugging Face},
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url={https://huggingface.co/datasets/oordonez/Bone_to_Pick_10_08},
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url={https://huggingface.co/datasets/oordonez/Bone_to_Pick_10_09}
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}
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```
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## License
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This dataset is released under the Apache 2.0 License.
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## Acknowledgments
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- Original datasets: [oordonez/Bone_to_Pick_10_08](https://huggingface.co/datasets/oordonez/Bone_to_Pick_10_08) and [oordonez/Bone_to_Pick_10_09](https://huggingface.co/datasets/oordonez/Bone_to_Pick_10_09)
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- Built with [LeRobot](https://github.com/huggingface/lerobot)
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- Merged and processed for improved usability and browser compatibility
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data-00000-of-00001.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e3cca359c1c54bbb0958acdaefbfd549e862dde46ae18867526d8191855e71a
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size 1033104
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dataset_info.json
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{
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"citation": "",
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"description": "",
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| 4 |
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"features": {
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| 5 |
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"action": {
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| 6 |
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"feature": {
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| 7 |
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"dtype": "float32",
|
| 8 |
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"_type": "Value"
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| 9 |
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},
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| 10 |
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"length": 12,
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| 11 |
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"_type": "List"
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| 12 |
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},
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| 13 |
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"observation.state": {
|
| 14 |
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"feature": {
|
| 15 |
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"dtype": "float32",
|
| 16 |
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"_type": "Value"
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| 17 |
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},
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| 18 |
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"length": 12,
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| 19 |
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"_type": "List"
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| 20 |
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},
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| 21 |
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"timestamp": {
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| 22 |
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"dtype": "float32",
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| 23 |
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"_type": "Value"
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| 24 |
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},
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| 25 |
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"frame_index": {
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| 26 |
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"dtype": "int64",
|
| 27 |
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"_type": "Value"
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| 28 |
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},
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| 29 |
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"episode_index": {
|
| 30 |
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"dtype": "int64",
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| 31 |
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"_type": "Value"
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| 32 |
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},
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| 33 |
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"index": {
|
| 34 |
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"dtype": "int64",
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| 35 |
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"_type": "Value"
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| 36 |
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},
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"task_index": {
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"dtype": "int64",
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| 39 |
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"_type": "Value"
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| 40 |
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}
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| 41 |
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},
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| 42 |
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"homepage": "",
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| 43 |
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"license": ""
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| 44 |
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}
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state.json
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{
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"_data_files": [
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{
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"filename": "data-00000-of-00001.arrow"
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}
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],
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"_fingerprint": "1556691ee348eb7e",
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| 8 |
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"_format_columns": null,
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"_format_kwargs": {},
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"_format_type": null,
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"_output_all_columns": false,
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"_split": null
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}
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