Sim-Sim Tee — Simulated Planar Pushing Demonstrations (carbon, large)
Simulated planar-pushing demonstrations: a pusher moves a T-shaped ("tee") slider to a target pose on a table. Each frame carries two 128×128 RGB camera views (overhead and wrist), the low-dimensional pusher state, the slider pose, and the per-episode goal pose.
This is one of the simulated datasets from Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels (Wei et al., 2025) — project page.
The data is stored as a Zarr v2 store in the
Diffusion Policy ReplayBuffer layout
(a flat data/ group plus meta/episode_ends).
- 520 episodes, 112,791 frames total
- Demonstrations are human teleoperation, collected by an operator driving the pusher in simulation with a gamepad controller (not scripted or planner-generated)
- 10 Hz control rate —
dt = 0.1 sbetween consecutive frames - Episode length: min 36, median 211, mean 217, max 510 frames (3.6 s / 21.1 s / 21.7 s / 51.0 s); ~3.13 hours of demonstration in total
- ~894 MiB on disk (blosc-compressed)
Files
sim_sim_tee_data_carbon_large.zarr/
├── data/
│ ├── action (112791, 2) float64
│ ├── state (112791, 3) float64
│ ├── slider_state (112791, 3) float64
│ ├── target (112791, 3) float64
│ ├── overhead_camera (112791, 128, 128, 3) uint8
│ └── wrist_camera (112791, 128, 128, 3) uint8
└── meta/
└── episode_ends (520,) int64
Episodes are stored back-to-back along axis 0. meta/episode_ends holds the
exclusive end index of each episode, so episode i spans
[episode_ends[i-1], episode_ends[i]) with an implicit start of 0 for i = 0.
Fields
| Field | Shape | Space | Meaning |
|---|---|---|---|
action |
(T, 2) |
(x, y) |
Commanded pusher position — an absolute world-frame target, not a delta. |
state |
(T, 3) |
(x, y, θ) |
Pusher pose. θ is identically 0 throughout this store — the pusher is rotationally symmetric, so its orientation is never populated. The column is kept for shape compatibility with the slider pose. |
slider_state |
(T, 3) |
(x, y, θ) |
Slider (T-block) pose. θ in radians, wrapped to [-π, π]. |
target |
(T, 3) |
(x, y, θ) |
Goal slider pose, same space as slider_state. Constant within an episode; 360 distinct goals across the 520 episodes. |
overhead_camera |
(T, 128, 128, 3) |
(H, W, C) |
Overhead RGB, uint8, HWC layout. |
wrist_camera |
(T, 128, 128, 3) |
(H, W, C) |
Wrist RGB, uint8, HWC layout. |
All poses are absolute coordinates in the simulator's world frame — positions are
in meters, angles in radians. T is the time axis, shared by every array.
Consecutive frames are 0.1 s apart (10 Hz), uniformly — there are no variable-rate
or dropped-frame gaps to account for when building time-indexed windows.
Value ranges over the whole dataset:
| Field | min | max |
|---|---|---|
action |
[0.374, -0.376] |
[0.798, 0.215] |
state |
[0.374, -0.376, 0.0] |
[0.798, 0.215, 0.0] |
slider_state |
[0.416, -0.232, -3.139] |
[0.772, 0.126, 3.140] |
target |
[0.580, -0.042, -0.062] |
[0.595, -0.026, 0.056] |
Zarr Chunking
Everything is chunked along the time axis only (trailing dims are a single chunk wide), so a chunk is a contiguous block of frames.
| Array | chunk shape | number of chunks |
|---|---|---|
action |
(2048, 2) |
56 |
state / slider_state / target |
(1024, 3) |
111 each |
overhead_camera / wrist_camera |
(128, 128, 128, 3) |
882 each |
episode_ends |
(520,) |
1 |
Usage
This dataset was collected with, and is meant to be trained and evaluated with, the code released on the project website.
The store is directly consumable by ReplayBuffer.copy_from_path and by the
PlanarPushingDataset loader in that codebase, with shape_meta:
shape_meta:
action: {shape: [2]}
obs:
state: {shape: [3], type: low_dim}
overhead_camera: {shape: [3, 128, 128], type: rgb}
wrist_camera: {shape: [3, 128, 128], type: rgb}
Note that the training pipeline moves images to CHW and scales to [0, 1]; they
are stored here as HWC uint8. slider_state is extra ground-truth metadata and
is not read by that loader.
Naming
The store name sim_sim_tee_data_carbon_large decomposes as:
| Part | Meaning |
|---|---|
sim_sim |
Legacy name. Indicates that the data was collected in a Drake sim. |
tee |
The slider is a T shape ("tee"). |
carbon |
The simulation renders under carbon arc lighting. |
large |
The larger version of the dataset with 520 demos. |
Citation
@article{wei2025cotraining,
title = {Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies
for Planar Pushing from Pixels},
author = {Wei, Adam and Agarwal, Abhinav and Chen, Boyuan and Bosworth, Rohan
and Pfaff, Nicholas and Tedrake, Russ},
journal = {arXiv preprint arXiv:2503.22634},
year = {2025},
url = {https://arxiv.org/abs/2503.22634}
}
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