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Update README: 145 episodes, updated task distribution after deletions

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  1. README.md +16 -79
README.md CHANGED
@@ -29,12 +29,10 @@ RGB-D hand manipulation dataset captured with iPhone 13 TrueDepth sensor for hum
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  | Metric | Value |
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  |--------|-------|
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- | Episodes | 147 |
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- | Total Frames | ~72,000 |
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  | FPS | 30 |
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  | Tasks | 12 manipulation tasks |
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- | Total Duration | ~40 minutes |
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- | Avg Episode Length | ~16.3 seconds |
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  ### Task Distribution
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@@ -49,9 +47,9 @@ RGB-D hand manipulation dataset captured with iPhone 13 TrueDepth sensor for hum
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  | 7 | Get out of the room and close the door behind you. | 58–66 | 9 |
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  | 8 | Put the sandals in the right place. | 67–76 | 10 |
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  | 9 | Put the cleaning cloth in the laundry basket. | 77–86 | 10 |
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- | 10 | Screw the cap back on the bottle. | 87–96 | 10 |
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- | 11 | Tuck the chairs into the table. | 97127 | 31 |
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- | 12 | Put the dishes in the sink. | 128146 | 19 |
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  ---
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@@ -62,25 +60,17 @@ humanoid-robots-training-dataset/
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  ├── data/
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  │ ├── chunk-000/ # Parquet files (episodes 0-99)
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- │ ├── episode_000000.parquet
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- │ │ └── ...
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- │ └── chunk-001/ # Parquet files (episodes 100-146)
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- │ ├── episode_000100.parquet
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- │ └── ...
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  ├── videos/
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  │ ├── chunk-000/rgb/ # MP4 videos (episodes 0-99)
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- │ ├── episode_000000.mp4
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- │ │ └── ...
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- │ └── chunk-001/rgb/ # MP4 videos (episodes 100-146)
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- │ ├── episode_000100.mp4
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- │ └── ...
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- ├── meta/ # Metadata & Annotations
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  │ ├── info.json # Dataset configuration (LeRobot format)
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- │ ├── stats.json # Feature min/max/mean/std statistics
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  │ ├── events.json # Disturbance & recovery annotations
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- │ └── annotations_motion_v1_frames.json # Motion semantic annotations
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  └── README.md
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  ```
@@ -93,61 +83,20 @@ humanoid-robots-training-dataset/
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  | Column | Type | Description |
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  |--------|------|-------------|
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- | `episode_index` | int64 | Episode number (0–146) |
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  | `frame_index` | int64 | Frame within episode |
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  | `timestamp` | float64 | Time in seconds |
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  | `language_instruction` | string | Task description |
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  | `observation.camera_pose` | float[6] | Camera 6-DoF (x, y, z, roll, pitch, yaw) |
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- | `observation.left_hand` | float[9] | Left hand keypoints (wrist + thumb + index) |
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- | `observation.right_hand` | float[9] | Right hand keypoints (wrist + index + middle) |
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  | `action.camera_delta` | float[6] | Camera delta 6-DoF |
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  | `action.left_hand_delta` | float[9] | Left hand delta keypoints |
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  | `action.right_hand_delta` | float[9] | Right hand delta keypoints |
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- | `rgb` | video | Synchronized RGB video frame |
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- ### 6-DoF Format
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-
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- **Coordinate System:**
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  - Origin: Camera (iPhone TrueDepth)
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- - X: Right (positive)
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- - Y: Down (positive)
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- - Z: Forward (positive, into scene)
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-
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- ---
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-
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- ## Motion Semantics Annotations
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-
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- **File:** `meta/annotations_motion_v1_frames.json`
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-
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- Coarse temporal segmentation with motion intent, phase, and error labels.
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-
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- ### Motion Types
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- `grasp` | `pull` | `align` | `fold` | `smooth` | `insert` | `rotate` | `open` | `close` | `press` | `hold` | `release` | `place`
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-
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- ---
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-
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- ## Events Metadata
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-
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- **File:** `meta/events.json`
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-
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- Disturbances and recovery actions for select episodes.
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-
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- ### Disturbance Types
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- | Type | Description |
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- |------|-------------|
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- | `OCCLUSION` | Hand temporarily blocked from camera |
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- | `TARGET_MOVED` | Object shifted unexpectedly |
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- | `SLIP` | Object slipped during grasp |
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- | `COLLISION` | Unintended contact |
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- | `DEPTH_DROPOUT` | Depth sensor lost valid readings |
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-
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- ### Recovery Actions
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- | Action | Description |
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- |--------|-------------|
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- | `REGRASP` | Release and re-acquire object |
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- | `REACH_ADJUST` | Modify approach trajectory |
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- | `ABORT` | Stop current action |
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- | `REPLAN` | Compute new action sequence |
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  ---
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@@ -162,7 +111,6 @@ dataset = LeRobotDataset("DynamicIntelligence/humanoid-robots-training-dataset")
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  episode = dataset[0]
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  state = episode["observation.camera_pose"] # [6] camera 6-DoF
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- rgb = episode["observation.images.rgb"] # Video frame
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  task = episode["language_instruction"] # "Fold the t-shirt on the bed."
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  ```
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@@ -178,16 +126,13 @@ path = hf_hub_download(
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  repo_type="dataset"
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  )
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  df = pd.read_parquet(path)
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- print(df["language_instruction"].iloc[0]) # "Fold the t-shirt on the bed."
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- print(f"Frames: {len(df)}")
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  ```
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185
  ---
186
 
187
  ## Citation
188
 
189
- If you use this dataset in your research, please cite:
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-
191
  ```bibtex
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  @dataset{dynamic_intelligence_2025,
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  author = {Dynamic Intelligence},
@@ -207,14 +152,6 @@ If you use this dataset in your research, please cite:
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208
  ---
209
 
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- ## Hand Landmark Reference
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-
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- ![Hand Landmarks](https://huggingface.co/datasets/DynamicIntelligence/humanoid-robots-training-dataset/resolve/main/assets/hand_landmarks.png)
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-
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- Each hand has tracked joints. The `observation.left_hand` and `observation.right_hand` contain 3D keypoints for key finger joints.
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-
216
- ---
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-
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  ## Visualizer
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220
  Explore the dataset interactively: [DI Hand Pose Sample Dataset Viewer](https://huggingface.co/spaces/DynamicIntelligence/dynamic_intelligence_sample_data)
 
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30
  | Metric | Value |
31
  |--------|-------|
32
+ | Episodes | 145 |
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+ | Total Frames | ~59,000 |
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  | FPS | 30 |
35
  | Tasks | 12 manipulation tasks |
 
 
36
 
37
  ### Task Distribution
38
 
 
47
  | 7 | Get out of the room and close the door behind you. | 58–66 | 9 |
48
  | 8 | Put the sandals in the right place. | 67–76 | 10 |
49
  | 9 | Put the cleaning cloth in the laundry basket. | 77–86 | 10 |
50
+ | 10 | Screw the cap back on the bottle. | 87–95 | 9 |
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+ | 11 | Tuck the chairs into the table. | 96126 | 31 |
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+ | 12 | Put the dishes in the sink. | 127144 | 18 |
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54
  ---
55
 
 
60
 
61
  ├── data/
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  │ ├── chunk-000/ # Parquet files (episodes 0-99)
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+ ── chunk-001/ # Parquet files (episodes 100-144)
 
 
 
 
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  ├── videos/
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  │ ├── chunk-000/rgb/ # MP4 videos (episodes 0-99)
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+ ── chunk-001/rgb/ # MP4 videos (episodes 100-144)
 
 
 
 
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+ ├── meta/
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  │ ├── info.json # Dataset configuration (LeRobot format)
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+ │ ├── stats.json # Feature statistics
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  │ ├── events.json # Disturbance & recovery annotations
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+ │ └── annotations_motion_v1_frames.json
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75
  └── README.md
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  ```
 
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  | Column | Type | Description |
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  |--------|------|-------------|
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+ | `episode_index` | int64 | Episode number (0–144) |
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  | `frame_index` | int64 | Frame within episode |
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  | `timestamp` | float64 | Time in seconds |
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  | `language_instruction` | string | Task description |
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  | `observation.camera_pose` | float[6] | Camera 6-DoF (x, y, z, roll, pitch, yaw) |
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+ | `observation.left_hand` | float[9] | Left hand keypoints |
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+ | `observation.right_hand` | float[9] | Right hand keypoints |
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  | `action.camera_delta` | float[6] | Camera delta 6-DoF |
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  | `action.left_hand_delta` | float[9] | Left hand delta keypoints |
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  | `action.right_hand_delta` | float[9] | Right hand delta keypoints |
 
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97
+ ### Coordinate System
 
 
98
  - Origin: Camera (iPhone TrueDepth)
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+ - X: Right, Y: Down, Z: Forward (into scene)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
 
101
  ---
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112
  episode = dataset[0]
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  state = episode["observation.camera_pose"] # [6] camera 6-DoF
 
114
  task = episode["language_instruction"] # "Fold the t-shirt on the bed."
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  ```
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126
  repo_type="dataset"
127
  )
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  df = pd.read_parquet(path)
129
+ print(df["language_instruction"].iloc[0])
 
130
  ```
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132
  ---
133
 
134
  ## Citation
135
 
 
 
136
  ```bibtex
137
  @dataset{dynamic_intelligence_2025,
138
  author = {Dynamic Intelligence},
 
152
 
153
  ---
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  ## Visualizer
156
 
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  Explore the dataset interactively: [DI Hand Pose Sample Dataset Viewer](https://huggingface.co/spaces/DynamicIntelligence/dynamic_intelligence_sample_data)