Datasets:
OriginData (preview sample)
OriginData is the world's first large-scale, real-world dataset combining hand pose and force annotations. Spanning 28 domains and 1,170 real-world tasks, it captures how human hands interact with the physical world, providing force, pose, and semantic annotations supported by high-precision multimodal calibration for embodied AI.
This preview contains 100.62 hours across 7,717 episodes, delivered in LeRobot v3.0 format with stereo RGB video, hand pose, head trajectories, finger-force estimates, and hierarchical language annotations.
Key Highlights
- Real-world diversity. Real people performing complete manipulation workflows across everyday life, commercial services, crafts, and industrial assembly.
- Force. The OriginData EGO+EMG pipeline fuses egocentric binocular vision, 16-channel surface EMG, and IMU to derive hand pose and per-finger force, with cross-modal validation.
- High-precision annotations. The capture and fusion pipeline reports synchronization within 3 ms, joint-angle MAE of 3.37°, finger-joint distance error of 4.2 mm, and force magnitude error within 20%.
Video previews
Preview Overview
| Attribute | Value |
|---|---|
| Duration | 100.62 hours |
| Episodes | 7,717 |
| Frames | 10,867,077 |
| Frame rate | Approximately 30 FPS |
| Task descriptions | 3,323 |
| Format | LeRobot v3.0 with multimodal extensions |
Modalities
| Modality | Description | Key fields |
|---|---|---|
| Stereo video | Left and right RGB streams; MP4 / H.264, nominally 1920 × 1080 per view | observation.images.head_left, observation.images.head_right |
| Hand pose | Each hand has 21 3D joints in the supplier camera frame, measured in meters. {side} is left or right. |
observation.hand.{side}.joints_3d_camera_m |
| Head trajectory | Head position and orientation are expressed in the local SLAM world frame. The orientation quaternion is ordered x, y, z, w. |
observation.head.position_in_slam_world, observation.head.orientation_in_slam_world_xyzw |
| Finger-force annotations | Five scalar channels per hand, ordered from thumb to little finger, in mN; estimated by Fusion2Force | left.force_values, right.force_values |
| Language annotations | Episode, subtask, and atomic-action descriptions with temporal boundaries | tasks, language_persistent, semantic_events_json |
Timestamps, episode and frame indices, and pose and force validity indicators are also provided.
Download
The Dataset Viewer defaults to four representative LeRobot Parquet shards, one from each data chunk. To load every LeRobot data shard with datasets, choose the full_parquet configuration:
from datasets import load_dataset
frames = load_dataset("OriginFlow-AI/origindata-preview-sample", name="full_parquet", split="train")
The dataset is hosted on Hugging Face.
pip install -U huggingface_hub
# Download the complete dataset
hf download "OriginFlow-AI/origindata-preview-sample" --repo-type dataset --local-dir ./origindata-preview-sample
To explore feature definitions, task descriptions, and episode metadata first:
# Download metadata only
hf download "OriginFlow-AI/origindata-preview-sample" --repo-type dataset --include "meta/*" --local-dir ./origindata-preview-sample
Data is provided in LeRobot v3.0 format, with Parquet features, MP4 videos, and multimodal extensions.
Analysis
Real-world coverage. OriginData spans 28 domains, 1,170 real-world tasks. The ring below illustrates the preview source collection through 51 individual scene/task entries; segment sizes reflect source duration.
Episode duration. Episodes average 46.94 seconds, with a median of 31.97 seconds and a range of 0.47–518.29 seconds.
Language coverage. The dataset contains 26,117 subtask annotations and 101,445 atomic-action annotations. All episodes include subtask annotations; 7,654 episodes (99.18%) include atomic-action annotations.
Usage Notes
- This preview provides model-derived finger-force annotations as five scalar channels per hand.
- Some clips contain occlusion, hands leaving the frame, missing poses, scene transitions, or privacy masks. Use
detected,force_valid, and*_validationfields to filter samples. - Poses retain the original camera coordinate conventions and joint ordering.
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