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Align dataset card with original VehicleArena release

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@@ -5,33 +5,69 @@ pretty_name: VehicleArena Road Networks
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  <h1 align="center">VehicleArena Road Networks</h1>
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- <p align="center">Offline map assets for the VehicleArena 3D urban-driving benchmark</p>
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- <p align="center">
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- <a href="https://github.com/OpenMOSS/VehicleArena">GitHub code</a> ·
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- <a href="https://github.com/OpenMOSS/VehicleArena/blob/main/README.en.md">English documentation</a> ·
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- <a href="https://github.com/OpenMOSS/VehicleArena/blob/main/README.md">中文文档</a> ·
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- <a href="https://arxiv.org/abs/2609.35916">Paper</a>
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- </p>
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- This dataset provides the versioned offline road-network bundle for [VehicleArena](https://github.com/OpenMOSS/VehicleArena). The simulator, scenarios, evaluation code, and map installer are in the GitHub repository; map assets are distributed here separately.
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- ## Download
 
 
 
 
 
 
 
 
 
 
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  | Item | Value |
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  | --- | --- |
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- | Version | `2026.09.22.0` (CalVer `YYYY.MM.DD.PATCH`) |
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- | Archive | [vehiclearena-road-networks-2026.09.22.0.tar.gz](https://huggingface.co/datasets/OpenMOSS-Team/VehicleArena/resolve/main/vehiclearena-road-networks-2026.09.22.0.tar.gz) |
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- | Contents | 116 base road networks and 116 lane-level road networks (232 JSON files) |
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  | Size | 117,275,038 bytes |
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  | SHA-256 | `79e9b642db23c37373697b5431dd615846c57b7c9b7e2c520c64d4ed3d608f75` |
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  ```bash
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- hf download OpenMOSS-Team/VehicleArena vehiclearena-road-networks-2026.09.22.0.tar.gz --repo-type dataset --local-dir /path/to/downloads
 
 
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  ```
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- ## Install
 
 
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- Follow the [map installation guide](https://github.com/OpenMOSS/VehicleArena/blob/main/vehiclearena/simulation/MAPS.md). The installer checks the archive and each map file against the manifest tracked in the code repository.
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- The map bundle contains road-network assets, not driving trajectories. VehicleArena's task definitions and evaluation instructions are maintained in the [GitHub code repository](https://github.com/OpenMOSS/VehicleArena).
 
 
 
 
 
 
 
 
 
 
 
 
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  <h1 align="center">VehicleArena Road Networks</h1>
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+ <p align="center"><strong>Offline map assets for VehicleArena's 3D urban-driving benchmark</strong></p>
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+ <div align="center">
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+ <a href="https://github.com/OpenMOSS/VehicleArena"><img src="https://img.shields.io/badge/GitHub-Code-181717?logo=github&amp;logoColor=white" alt="VehicleArena code"></a>
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+ <a href="https://arxiv.org/abs/2609.35916"><img src="https://img.shields.io/badge/arXiv-2609.35916-B31B1B?logo=arxiv&amp;logoColor=white" alt="VehicleArena paper"></a>
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+ <a href="https://arxiv.org/pdf/2609.35916"><img src="https://img.shields.io/badge/PDF-Download-D32F2F?logo=adobeacrobatreader&amp;logoColor=white" alt="Download paper PDF"></a>
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+ </div>
 
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+ <p align="center"><a href="https://github.com/OpenMOSS/VehicleArena/blob/main/README.en.md">English project README</a> · <a href="https://github.com/OpenMOSS/VehicleArena/blob/main/README.md">中文项目说明</a></p>
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+ This repository contains the versioned road-network bundle used by [VehicleArena](https://github.com/OpenMOSS/VehicleArena). The simulator, benchmark scenarios, evaluation code, and map installer live in the GitHub repository; the large offline maps are distributed here.
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+
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+ **Start here:** [Download](#-download) · [Install](#-installation) · [Benchmark context](#-benchmark-context) · [Citation](#-citation)
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+
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+ ## 🌟 Highlights
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+
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+ - **116 road-network maps:** the archive contains 116 base road networks and their 116 lane-level counterparts, for 232 map JSON files in total.
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+ - **Versioned and verifiable:** the archive follows CalVer `YYYY.MM.DD.PATCH`; the VehicleArena installer checks its SHA-256 and the individual map files against the code repository's manifest.
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+ - **Maps, not trajectories:** task definitions and evaluation software are maintained on GitHub, so the same map bundle can be used with the published tasks or new scenarios.
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+
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+ ## 📦 Download
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  | Item | Value |
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  | --- | --- |
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+ | Version | `2026.09.22.0` |
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+ | Archive | [vehiclearena-road-networks-2026.09.22.0.tar.gz](https://huggingface.co/datasets/OpenMOSS-Team/VehicleArena/resolve/main/vehiclearena-road-networks-2026.09.22.0.tar.gz?download=true) |
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+ | Contents | 116 base + 116 lane-level networks (232 JSON files) |
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  | Size | 117,275,038 bytes |
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  | SHA-256 | `79e9b642db23c37373697b5431dd615846c57b7c9b7e2c520c64d4ed3d608f75` |
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+ The archive can also be downloaded with the Hugging Face CLI:
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+
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+ ```bash
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+ hf download OpenMOSS-Team/VehicleArena \
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+ vehiclearena-road-networks-2026.09.22.0.tar.gz \
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+ --repo-type dataset --local-dir /path/to/downloads
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+ ```
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+
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+ ## 🚀 Installation
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+
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+ First set up the [VehicleArena code and dependencies](https://github.com/OpenMOSS/VehicleArena#-quick-start). From the code repository root, install the downloaded archive and check the environment:
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+
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  ```bash
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+ python scripts/manage_map_bundle.py install \
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+ --source /path/to/downloads/vehiclearena-road-networks-2026.09.22.0.tar.gz
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+ python scripts/check_environment.py
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  ```
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+ The check reports `"ready": true` when Python, SUMO, and the maps are available. See the [map installation guide](https://github.com/OpenMOSS/VehicleArena/blob/main/vehiclearena/simulation/MAPS.md) for the archive layout and checksum validation.
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+
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+ ## 📊 Benchmark context
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+ The published VehicleArena benchmark has 100 training/development tasks and 112 held-out evaluation tasks: 80 Basic and 32 MultiLLM. Those tasks, their manifests, and the evaluation code are in [GitHub](https://github.com/OpenMOSS/VehicleArena), not in this map archive. The published time limits were calibrated using this map version; changing road data or task definitions requires recalibrating affected scenarios. Reusing the same archive with another evaluated model does not.
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+ ## 📎 Citation
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+
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+ If you use these maps with VehicleArena, please cite the [paper](https://arxiv.org/abs/2609.35916):
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+
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+ ```bibtex
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+ @article{yang2026vehiclearena,
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+ title={VehicleArena: A Realistic Urban Environment for Multi-Agent Driving},
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+ author={Yang, Jie and Chen, Jiajun and Zhou, Jiazheng and Huang, Mianqiu and Zheng, Yining and Wang, Yuxin and Qiu, Xipeng},
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+ journal={arXiv preprint arXiv:2609.35916},
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+ year={2026}
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+ }
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+ ```