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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
0–2 left.tcp.x/y/z Left TCP position (mm)
3–6 left.tcp.qw/qx/qy/qz Left TCP orientation as quaternion (scalar-first, canonical w β‰₯ 0)
7–12 left.joint.0–left.joint.5 Left joint angles (degrees)
13 left.gripper Left gripper state
14–16 right.tcp.x/y/z Right TCP position (mm)
17–20 right.tcp.qw/qx/qy/qz Right TCP orientation as quaternion (scalar-first, canonical w β‰₯ 0)
21–26 right.joint.0–right.joint.5 Right joint angles (degrees)
27 right.gripper Right gripper state

Cameras

Key Resolution FPS Codec Description
observation.images.ego 320Γ—240 30 h264 Third-person egocentric view (downsampled 2Γ— from 640Γ—480)
observation.images.wrist_left 320Γ—240 30 h264 Left wrist-mounted camera (downsampled 2Γ— from 640Γ—480)
observation.images.wrist_right 320Γ—240 30 h264 Right wrist-mounted camera (downsampled 2Γ— from 640Γ—480)

Action Space

Action (action) β€” float32[16]

Bimanual action, left arm followed by right arm.

Index Name Description
0–2 left.tcp.x/y/z Left target TCP position (mm)
3–6 left.tcp.qw/qx/qy/qz Left target TCP orientation as quaternion (scalar-first)
7 left.gripper Left target gripper command
8–10 right.tcp.x/y/z Right target TCP position (mm)
11–14 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/
β”œβ”€β”€ data/
β”‚   └── chunk-000/
β”‚       └── file-000.parquet                  # All frames (116,415 rows)
β”œβ”€β”€ videos/
β”‚   └── chunk-000/
β”‚       β”œβ”€β”€ observation.images.ego/           # 2 Γ— file-NNN.mp4 (packed, ≀200 MB each)
β”‚       β”œβ”€β”€ observation.images.wrist_left/    # 2 Γ— file-NNN.mp4 (packed, ≀200 MB each)
β”‚       └── observation.images.wrist_right/   # 2 Γ— file-NNN.mp4 (packed, ≀200 MB each)
└── meta/
    β”œβ”€β”€ info.json
    β”œβ”€β”€ stats.json
    β”œβ”€β”€ tasks.parquet
    └── episodes/
        └── chunk-000/
            └── file-000.parquet              # Per-episode metadata and stats

Videos were recorded one MP4 per episode at 640Γ—480, 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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