Datasets:
video video 13.5 79.1 | label class label 3
classes |
|---|---|
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
0observation.images.ego_view | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist | |
1observation.images.left_wrist |
Keep the Flow — 1x3 Formation
Anonymous release of a bimanual humanoid manipulation dataset for double-blind conference review. Each episode shows a 43-DoF humanoid robot completing a 1×3 formation by picking the single object available on a side cart and placing it into the empty slot of a 3-slot table layout.
Variants
The same 24 task cases are recorded in 8 variants (≈ 33K files, 49 GB total):
| Variant | Description |
|---|---|
original |
Original RGB videos with table grid markings visible |
original_grid_removed |
Same recordings with grid removed from the videos |
recolor1 / recolor1_grid_removed |
Per-case color swap palette #1 (with/without grid) |
recolor2 / recolor2_grid_removed |
Per-case color swap palette #2 (with/without grid) |
recolor3 / recolor3_grid_removed |
Per-case color swap palette #3 (with/without grid) |
The 24 cases sweep:
- Shape: hexagonal prism (H), box (C), cylinder (B)
- Color: red (R), orange (O), yellow (Y), blue (B)
- Spacing: 15 cm, 20 cm, 25 cm
- Empty slot position: 1×1, 1×2, or 1×3
Each variant contains 24 case folders following the pattern
T3v2_<spacing-id>-<row>_1x3_<spacing>cm/.
Format
LeRobot v2.1 dataset format. Each case folder contains:
<variant>/
├── T3v2 - Keep the Flow Enhanced[ (recolor*)].xlsx # per-variant catalog: ID, formation,
│ # spacing, table layout, cart contents,
│ # and 3-level instructions (detailed / medium / simple)
└── T3v2_<id>_1x3_<spacing>cm/
├── case_metadata.json # cart & slots ground truth
├── meta/
│ ├── tasks.jsonl # single task instruction (medium template)
│ ├── episodes.jsonl # per-episode length & task text
│ ├── info.json # LeRobot schema (43-DoF, 3 cameras, 15 fps)
│ ├── modality.json
│ ├── stats.json
│ └── relative_stats.json
├── data/chunk-000/episode_*.parquet # observation.state, action, indices
└── videos/chunk-000/
├── observation.images.ego_view/episode_*.mp4 (640x360)
├── observation.images.left_wrist/episode_*.mp4 (360x640)
└── observation.images.right_wrist/episode_*.mp4 (360x640)
Robot platform
- 43 DoF: left/right legs (6+6), waist (3), left/right arms (7+7), left/right hands (7+7)
- 3 RGB cameras at 15 fps (ego, left wrist, right wrist)
- Action and observation share the same 43-DoF joint-position schema
- Robot type label retained in
info.jsonfor reproducibility
Task instructions
Every episode in every variant uses a single, medium-detail natural-language instruction of the form:
Complete the 1x3 formation with
{spacing}spacing. The cart on your right contains only one object: a{color}{shape}. Pick it up and place it into the empty{slot}slot.
The instruction is stored both in meta/tasks.jsonl (task index 0) and in each
record of meta/episodes.jsonl.
Anonymity notice
This is an anonymized release for double-blind review. Authors, institutions, and prior publications are intentionally omitted and will be added in the camera-ready version.
License
CC-BY-4.0 — attribution will be specified upon de-anonymization.
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