Datasets:
Search is not available for this dataset
observation.state list | action list | next.done bool 2
classes | timestamp float32 0 28 | frame_index int64 0 841 | episode_index int64 0 129 | index int64 0 93.8k | task_index int64 0 0 |
|---|---|---|---|---|---|---|---|
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40.178348541259766,
-0.6852255463600159,
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16.280221939086914,
29.08561134338379,
39.28923797607422,
1.562425136566162,
55.96927261352539
] | false | 3.3 | 99 | 0 | 99 | 0 |
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Farpoint SO-101
Farpoint SO-101 is an extensible LeRobot v3 dataset of physics-based SO-101 robot manipulation episodes generated with Isaac Lab, Isaac Sim, and the Farpoint simulation pipeline.
- Dataset: wenyixu101/farpoint-so101
- Source: xuwenyihust/farpoint
- Dataset version:
v0.0.2
Dataset summary
| Metric | Value |
|---|---|
| Task | Cube pickup, transport, release, and stable placement |
| Robot | SO-101 follower arm: 5 arm joints + 1 gripper joint |
| Simulator | Isaac Sim 6.0.0 + PhysX, through Isaac Lab 3.0.0-beta2 |
| Controller | Simulation-truth, contact-aware DLS IK oracle |
| Episodes | 130 successful demonstrations |
| Frames | 93,812 at 30 Hz (about 52 min 7 s) |
| Camera | One 640 x 480 front RGB stream |
Variation coverage
| Variation axis | Values in this release |
|---|---|
| Position | 5 x 5 stratified XY grid; cube centers span approximately x = 0.147–0.255 m and y = -0.116–-0.024 m |
| Cube yaw | 0°, 45° |
| Cube edge length | 0.03 m, 0.04 m |
| Cube color | Red, blue |
| Cube mass | 0.03 kg, 0.04 kg |
| Placement target | Green raised pad, 0.16 m x 0.14 m |
Policy features
| Feature | Shape / format | Description |
|---|---|---|
observation.state |
float32[6] |
Current SO-101 joint positions |
observation.images.front |
video, 480 x 640 x 3 |
External front-camera RGB |
action |
float32[6] |
Joint-position target sent during the current control step |
Logical episode splits
| Split | Episodes | Share |
|---|---|---|
| Train | 104 | 80.0% |
| Validation | 11 | 8.5% |
| Test | 15 | 11.5% |
Intended use
The dataset is intended for robot-learning pipeline development, behavior cloning experiments, simulation evaluation, data-loader testing, and research on variation-aware manipulation. Its small scale and simulation-only origin make it unsuitable as a standalone basis for real-world robot deployment or safety claims.
License and third-party components
Farpoint-authored dataset content is released under the Creative Commons Attribution 4.0 International license (CC BY 4.0):
https://creativecommons.org/licenses/by/4.0/
This license applies only to content that Farpoint has the right to license.
Isaac Sim, Isaac Lab, NVIDIA Omniverse components, and other third-party assets
are not relicensed by Farpoint. The SO-101 USD originates from NVIDIA's
Sim-to-Real SO-101 Workshop at commit
ce807d99724cb65671abec01f908a2fcb4a6eab7; its upstream Apache-2.0 notice and
Farpoint's third-party attribution apply.
Versioning and attribution
Dataset versions are independent of the Farpoint Python package version. Please cite the Farpoint source repository and identify both the dataset repository and immutable version tag used in your work.
See the dataset changelog for version-by-version changes. Pre-1.0 versions may extend the task and scene distribution and may evolve metadata contracts with explicit release notes.
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