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video video 1.15k 2.73k | label class label 3
classes |
|---|---|
0observation.images.ego | |
0observation.images.ego | |
1observation.images.wrist_left | |
1observation.images.wrist_left | |
2observation.images.wrist_right | |
2observation.images.wrist_right |
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Check out the documentation for more information.
rm65b-sort-v0
A bimanual teleoperation dataset for sorting blocks into colored baskets, collected on a dual RealMan RM65-B robot setup.
Overview
| Field | Value |
|---|---|
| Robot | Dual RealMan RM65-B (left + right arm) |
| Tasks | 1 |
| Episodes | 240 |
| Total frames | 116,415 |
| Total duration | ~64.7 min |
| FPS | 30 |
| Format | LeRobot v3.0 |
Tasks
| task_index | Description | Episodes | Duration |
|---|---|---|---|
| 0 | Sort the arch block to the white basket and the cuboid to the pink basket | 240 | ~64.7 min |
Episode Length
| Stat | Frames | Seconds |
|---|---|---|
| Min | 284 | 9.5 |
| Median | 472 | 15.7 |
| Mean | 485 | 16.2 |
| Max | 799 | 26.6 |
Observation Space
State (observation.state) β float32[28]
Bimanual state, left arm followed by right arm.
| Index | Name | Description |
|---|---|---|
| 0β2 | left.tcp.x/y/z |
Left TCP position (mm) |
| 3β6 | left.tcp.qw/qx/qy/qz |
Left TCP orientation as quaternion (scalar-first, canonical w β₯ 0) |
| 7β12 | left.joint.0βleft.joint.5 |
Left joint angles (degrees) |
| 13 | left.gripper |
Left gripper state |
| 14β16 | right.tcp.x/y/z |
Right TCP position (mm) |
| 17β20 | right.tcp.qw/qx/qy/qz |
Right TCP orientation as quaternion (scalar-first, canonical w β₯ 0) |
| 21β26 | right.joint.0βright.joint.5 |
Right joint angles (degrees) |
| 27 | right.gripper |
Right gripper state |
Cameras
| Key | Resolution | FPS | Codec | Description |
|---|---|---|---|---|
observation.images.ego |
320Γ240 | 30 | h264 | Third-person egocentric view (downsampled 2Γ from 640Γ480) |
observation.images.wrist_left |
320Γ240 | 30 | h264 | Left wrist-mounted camera (downsampled 2Γ from 640Γ480) |
observation.images.wrist_right |
320Γ240 | 30 | h264 | Right wrist-mounted camera (downsampled 2Γ from 640Γ480) |
Action Space
Action (action) β float32[16]
Bimanual action, left arm followed by right arm.
| Index | Name | Description |
|---|---|---|
| 0β2 | left.tcp.x/y/z |
Left target TCP position (mm) |
| 3β6 | left.tcp.qw/qx/qy/qz |
Left target TCP orientation as quaternion (scalar-first) |
| 7 | left.gripper |
Left target gripper command |
| 8β10 | right.tcp.x/y/z |
Right target TCP position (mm) |
| 11β14 | right.tcp.qw/qx/qy/qz |
Right target TCP orientation as quaternion (scalar-first) |
| 15 | right.gripper |
Right target gripper command |
Dataset Structure
rm65b-sort-v0/
βββ data/
β βββ chunk-000/
β βββ file-000.parquet # All frames (116,415 rows)
βββ videos/
β βββ chunk-000/
β βββ observation.images.ego/ # 2 Γ file-NNN.mp4 (packed, β€200 MB each)
β βββ observation.images.wrist_left/ # 2 Γ file-NNN.mp4 (packed, β€200 MB each)
β βββ observation.images.wrist_right/ # 2 Γ file-NNN.mp4 (packed, β€200 MB each)
βββ meta/
βββ info.json
βββ stats.json
βββ tasks.parquet
βββ episodes/
βββ chunk-000/
βββ file-000.parquet # Per-episode metadata and stats
Videos were recorded one MP4 per episode at 640Γ480, then packed into multi-episode files and downsampled 2Γ via teleoperation/combine_videos.py. Per-episode timestamp ranges are recorded in meta/episodes/.../file-000.parquet under videos/<key>/from_timestamp and to_timestamp.
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