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scene_name
string
url
string
roads
list
sidewalks
list
pedestrian_traj
list
vehicle_traj
list
NYC_East_Village
https://www.fab.com/listings/3cd8585d-8279-4e54-a538-09069da61e1f
[{"object_id":"Road_6x6_32","status":"ok","guid":"9EB92B8F41D7BAE60767D1B1E82E9BD3","aabb":{"center"(...TRUNCATED)
[{"object_id":"Sidewalk_4x4_B_9","status":"ok","guid":"7215E10143B05D82E1A53899940F5C89","aabb":{"ce(...TRUNCATED)
[{"start":{"object_id":"SkeletalMeshActor_2","status":"ok","guid":"030D651B4EB71750C497FF9856D46AC2"(...TRUNCATED)
[{"start":{"object_id":"BP_Suv_Car_01_2","status":"ok","guid":"120D32AE49EF86EF166DBB81A3E3A696","aa(...TRUNCATED)

LychSim Scenes Dataset

Project Page | Paper | GitHub

LychSim is a highly controllable and interactive simulation framework built upon Unreal Engine 5 for vision research. This dataset contains scene-level procedural rules for the simulator.

Description

For each scene, we capture structural priors — navigable floor spaces, road areas, pedestrian walks, and dynamic vehicle / pedestrian trajectories — as structured records keyed to the underlying placed actors. These spatial priors guide the procedural generation process, ensuring that newly synthesized layouts remain faithful to the original scene semantics.

Sample Usage

You can load the dataset using the Hugging Face datasets library:

from datasets import load_dataset

scenes = load_dataset("wufeim/lychsim_scenes")

Citation

If you find our work useful for your research, please consider citing our work:

@article{ma2026lychsim,
  title={LychSim: A Controllable and Interactive Simulation Framework for Vision Research},
  author={Ma, Wufei and Wang, Chloe and Chen, Siyi and Peng, Jiawei and Li, Patrick and Yuille, Alan},
  journal={arXiv preprint arXiv:2605.12449},
  year={2026}
}

License

This dataset is released under the Creative Commons Attribution 4.0 International license (CC BY 4.0).

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