image dict | wrist_image dict | state list | action list | exec_start_idx int32 | is_demo bool | step_idx int32 | epis_idx int32 | simple_subgoal string | grounded_subgoal string | simple_subgoal_online string | grounded_subgoal_online string | timestamp float32 | frame_index int64 | episode_index int64 | index int64 | task_index int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 0 | 0 | static | static | static | static | 0 | 0 | 0 | 0 | 0 |
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 1 | 0 | static | static | static | static | 0.1 | 1 | 0 | 1 | 0 |
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 2 | 0 | static | static | static | static | 0.2 | 2 | 0 | 2 | 0 |
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 3 | 0 | static | static | static | static | 0.3 | 3 | 0 | 3 | 0 |
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 4 | 0 | static | static | static | static | 0.4 | 4 | 0 | 4 | 0 |
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 5 | 0 | static | static | static | static | 0.5 | 5 | 0 | 5 | 0 |
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 6 | 0 | static | static | static | static | 0.6 | 6 | 0 | 6 | 0 |
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 7 | 0 | static | static | static | static | 0.7 | 7 | 0 | 7 | 0 |
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 8 | 0 | static | static | static | static | 0.8 | 8 | 0 | 8 | 0 |
{"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nOz9ebhlWXYXBv7WWnvvc+7whojIjMysqq(...TRUNCATED) | {"bytes":"iVBORw0KGgoAAAANSUhEUgAAAQAAAAEACAIAAADTED8xAAEAAElEQVR4nEz9Xatu27YuBj1PKaW29vY+xppr7X08h6(...TRUNCATED) | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
0.03999999910593033
] | [
0,
0.18000000715255737,
0,
-2.200000047683716,
0,
2.5,
0.7853981852531433,
1
] | 114 | true | 9 | 0 | static | static | static | static | 0.9 | 9 | 0 | 9 | 0 |
End of preview. Expand in Data Studio
robomme_1cuben_allcases (VideoUnmaskSwap1CubeN)
A single red cube is hidden under one of three cups; the cups are shuffled a variable number of times (Uniform{0..3} incl. 0-swap) and the robot must pick the cup now hiding the cube. Prompt is color-free: "watch the video carefully, then pick up the container hiding the cube".
Monochrome. The cube is a fixed red in every episode (previously a per-episode random red/green/blue draw); the benchmark no longer varies cube color.
Sampling design. The 120 unique discrete cases (3 init positions × every swap-pair sequence of length 0..3) are each drawn 3 times from (object+cup init pose [seeded] × recovery mode {none, z, xy}), giving 360 episodes (112055 frames). Recovery-mode weights = [0.7, 0.15, 0.15] (~30% of episodes contain a deliberate failed grasp + recovery). Deep-verified: every episode reproduces its case.
Standard LeRobot v2.1 layout (panda, 10 fps). Precomputed VAE latents are not included.
- Downloads last month
- 1,008