metadata
license: cc-by-4.0
size_categories:
- n<1K
task_categories:
- other
dataset_info:
features:
- name: scene_name
dtype: string
- name: url
dtype: string
- name: roads
list:
- name: object_id
dtype: string
- name: status
dtype: string
- name: guid
dtype: string
- name: aabb
struct:
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- name: extent
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- name: extent
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- name: bounds
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- name: extent
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- name: location
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- name: rotation
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- name: scale
list: int64
- name: color
list: int64
splits:
- name: all
num_bytes: 190650
num_examples: 1
download_size: 226585
dataset_size: 190650
configs:
- config_name: default
data_files:
- split: all
path: data/all-*
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).