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12.3k episodes · 30 fps · 3 cameras · 224×224 h264

TeleArms DR300 train, 1 look per demo

LeRobot v3 dataset (albagon/telearms_dr300_1look): bimanual YAM teleoperation demos from the TeleArms game, re-rendered in MuJoCo with visual domain randomization for sim-to-real transfer of a pi0.5 policy.

Episodes 12,324
Frames 6,400,217 (59.3 h at 30 Hz)
Tasks 47
Robot bimanual_yam; 14-D state/action: left_joint1..6, left_gripper, right_joint1..6, right_gripper
Cameras camera_front, camera_left (wrist), camera_right (wrist), 224x224, letterboxed from the real cameras' aspect ratios
Grippers 1.0 = open, 0.0 = closed
Action stats relative (action - state for joints), pinned from helen9975/pi05_telearms_v4_fullft_lr7.07e-5@4a598baa0ecab581327eb77550820fdbc2b16341
  • Training demos: up to 300 per task from the training split of checkpoint helen9975/pi05_telearms_v4_fullft_lr7.07e-5 (ckpt0); none come from ckpt0's holdout (checked against provenance/ckpt0_holdout_uuids.json).
  • One DR look per demo (the __dr00 render). Same demos as albagon/telearms_dr300_2looks, which adds a second look.
  • 11 episodes whose wrist view was near-black for the whole episode are excluded (provenance/exclude_dark_wrist_train.json).
  • ckpt0's train/holdout split by demo UUID: provenance/ckpt0_split_by_uuid.csv. The DR shares in the table below are for the whole render; the dr_report summary covers all looks.

Domain randomization (observed shares)

Factor Value Configured Observed
table source procedural 0.20 0.200
table source table_other 0.20 0.196
table source table_real 0.40 0.404
table source table_wood 0.20 0.200
lighting setup lamp 0.10 0.102
lighting setup original 0.15 0.145
lighting setup panels 0.50 0.505
lighting setup wide 0.15 0.149
lighting setup window 0.10 0.099
floor replaced False 0.10 0.100
floor replaced True 0.90 0.900
skybox replaced False 0.10 0.104
skybox replaced True 0.90 0.896
procedural backdrop dark False 0.40 0.395
procedural backdrop dark True 0.60 0.605
JPEG applied (per camera) False 0.50 0.501
JPEG applied (per camera) True 0.50 0.499

Full config and per-factor ranges: provenance/dr_config_resolved.json; render report: provenance/report.html and provenance/summary.json.

Episodes per task

Task Episodes
Adjacent Red Cube Placement 300
Align Blocks 299
Aligned Cube Row Placement 299
Aligned Letter Cube Row 144
Alphabet Cube Row Arrange 99
Alternate Green Yellow Row 256
Alternate Red Blue Row 299
Arrange Alphabetical Order 155
Arrange Shapes 300
Block Line Arrangement 207
Blue Base Red Pyramid 110
Blue Cube On Red Target 300
Blue On Red Stack To Green Target 300
Colored Cube Row Arrangement 299
Cube Center Placement 300
Cube Cluster Center 300
Cube Forward Right Placement 298
Cube Midpoint Placement 182
Cube Patch Placement 300
Cube Row Arrangement 259
Dog Cube Row Arrangement 190
Front Edge Cube Row 300
Front To Back Cube Line 300
Green Cube On Yellow Target 300
Hi Cube Placement 300
L Cube Arrangement 300
Letter Face Alignment 300
Microsoft Logo Cubes 300
Opposite Corner Cube Placement 200
Push Block to Target 300
Red Behind Blue Placement 300
Red Cube Center Placement 300
Red Cube In Front Of Blue Cube 300
Red Left Of Blue Placement 299
Red On Semantic Cube Stacking 299
Rotate Letter Block 300
Semantic Cube Blue B Placement 300
Semantic Cube Green Target Red Stack 300
Semantic Cube On Red Patch A Up 300
Semantic Cube Pyramid Build 240
Semantic Cubes 1x4 Line 1234 126
Sequential Push Block to Target 300
Spell Ok Cube Alignment 143
Three Cube Pyramid Stacking 283
Three Cube Wall Row 256
Top Letter Cube Stacking 183
Vertical Insert Two Blocks 299

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from lerobot.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("albagon/telearms_dr300_1look")
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