| --- |
| license: apache-2.0 |
| pretty_name: Real2sim of ABC dataset |
| task_categories: |
| - robotics |
| tags: |
| - robotics |
| - simulation |
| - usd |
| - sim2real |
| - bimanual |
| - manipulation |
| size_categories: |
| - 1K<n<10K |
| viewer: false |
| --- |
| |
| # Real2sim of ABC dataset |
|
|
| 1,002 simulation environments for five bimanual manipulation tasks from the [ABC](https://abc.bot/) dataset, each reconstructed from a real teleoperated episode by [Versor](https://versor.tech). Read more in our blog post: [Real-world data as the foundation for robotics simulations](https://versor.tech/news/abc-sim/). |
|
|
|  |
|
|
| Each scene is a standalone USDZ with everything in place for policy training and evaluation: the robot cell, two YAM arms at the real episode's first joint angles, and the task's objects where the real episode had them, with mass, friction and collision shapes. |
|
|
| ## What's inside |
|
|
| | Folder | Task | Scenes | |
| |---|---|---| |
| | `put_plastic_bottles_in_bin/` | Put the plastic bottles in the bin | 200 | |
| | `load_plates_into_dish_rack/` | Load the plates into the dish rack | 198 | |
| | `turn_mug_right_side_up/` | Turn the mugs right side up | 272 | |
| | `sort_the_screws_and_nuts_into_containers/` | Sort the screws and nuts into containers | 132 | |
| | `place_the_snacks_into_the_paper_bag/` | Place the snacks into the paper bag | 200 | |
|
|
| Each folder holds `<episode>.usdz` (the scene), `<episode>.json` (what the scene holds and how it was checked) and `index.json` (all scenes in the folder). The episode id is the [ABC-130k](https://huggingface.co/datasets/XDOF/ABC-130k) episode the scene was reconstructed from. |
|
|
| - **Units and frame:** metres, kilograms, seconds; z up. |
| - **Robot:** two fixed-base arms with six revolute joints and a two-finger gripper each, with joint position controllers initialized to the recorded episode’s starting commands. |
| - **Physics:** rigid bodies with mass, inertia and friction; MuJoCo's contact and solver parameters are stored alongside in MuJoCo's USD schema. |
| - **Snacks:** textured object models, and the head camera solved for each episode. The snack packets are deformable solids and the bag is a cloth, settled in [Newton](https://github.com/newton-physics/newton). |
|
|
| ## Quick start |
|
|
| Download one task, or drop `--include` for all of them (22 GB): |
|
|
| ```bash |
| pip install -U huggingface_hub usd-core |
| hf download versor-tech/versor-abc-sim --repo-type dataset --include "turn_mug_right_side_up/*" --local-dir abc-sim |
| ``` |
|
|
| Open a scene with the USD Python API: |
|
|
| ```python |
| from pathlib import Path |
| from pxr import Usd, UsdPhysics |
| |
| scene = next(Path("abc-sim/turn_mug_right_side_up").glob("*.usdz")) |
| stage = Usd.Stage.Open(str(scene)) |
| bodies = [p.GetPath() for p in stage.Traverse() if p.HasAPI(UsdPhysics.RigidBodyAPI)] |
| print(scene.name, len(bodies), "rigid bodies") |
| ``` |
|
|
| The scenes also open directly in Isaac Sim. The snacks scenes need PhysX's GPU dynamics, which PhysX requires for deformables, or Newton. |
|
|
| ## License |
|
|
| Apache-2.0. The scenes build on [ABC](https://github.com/amazon-far/abc) and [ABC-130k](https://huggingface.co/datasets/XDOF/ABC-130k), both Apache-2.0; see `LICENSE` and `NOTICE`. |
|
|
| ## Citation |
|
|
| If you use these scenes, please cite our post and the ABC paper: |
|
|
| ```bibtex |
| @misc{versor2026abcsim, |
| title = {Real-world data as the foundation for robotics simulations}, |
| author = {{Versor}}, |
| year = {2026}, |
| howpublished = {\url{https://versor.tech/news/abc-sim/}} |
| } |
| |
| @article{allshire2026abc, |
| title = {Scalable Behavior Cloning with Open Data, Training, and Evaluation}, |
| author = {Arthur Allshire and Himanshu Gaurav Singh and Ritvik Singh and Adam Rashid and Hongsuk Choi and David McAllister and Justin Yu and Yiyuan Chen and Huang Huang and Pieter Abbeel and Xi Chen and Rocky Duan and Phillip Isola and Jitendra Malik and Fred Shentu and Guanya Shi and Philipp Wu and Angjoo Kanazawa}, |
| journal = {arXiv preprint arXiv:2606.27375}, |
| year = {2026} |
| } |
| ``` |
|
|
