| --- |
| task_categories: |
| - question-answering |
| tags: |
| - Agent |
| - Benchmark |
| - Route-Planning |
| size_categories: |
| - 50K<n<100K |
| configs: |
| - config_name: default |
| data_files: |
| - split: query |
| path: datasets/all_data_benchmark_50000.csv |
|
|
| --- |
| |
| > **Note:** This work is currently under review. The full dataset will be released progressively. |
|
|
| # MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios |
|
|
| [Paper](https://huggingface.co/papers/2602.22638) | [GitHub](https://github.com/AMAP-ML/MobilityBench) |
|
|
| **MobilityBench** is a scalable benchmark for evaluating route-planning agents in real-world mobility scenarios. It is built from large-scale, anonymized mobility queries from **Amap**, organized with a comprehensive task taxonomy, and provides **structured ground truth** (required tool calls + verifiable evidence). All tool calls are executed in a **deterministic replay sandbox** for reproducible, multi-dimensional evaluation. |
|
|
| **Scale & Coverage:** 100,000 episodes across **22** countries and **350+** cities (including metropolitan areas), with a **long-tailed** geographic distribution. |
|
|
| ### Scenario Distribution (11 intents) |
| - **36.6%** Basic Information Retrieval |
| - **9.6%** Route-Dependent Information Retrieval |
| - **42.5%** Basic Route Planning |
| - **11.3%** Preference-Constrained Route Planning |
|
|
| #### Data Format |
|
|
| | Field | Description | |
| |-------|-------------| |
| | `query` | User query text | |
| | `context` | Context information (JSON, e.g., current location, city) | |
| | `task_scenario` | Fine-grained task category | |
| | `intent_family` | Coarse-grained intent category for evaluation aggregation | |
| | `tool_list` | Expected tool calls (JSON array) | |
| | `route_ans` | Ground truth route answer (JSON) | |
|
|
| #### Sample Data (5 Examples) |
|
|
| | Query | Task Scenario | Intent Family | |
| |-------|---------------|---------------| |
| | 去大石桥不走高速<br>Go to Dashiqiao without taking the highway. | Option-Constrained Route Planning | Preference-Constrained Route Planning | |
| | 现在成都大道会堵车吗？看一下地图，会不会堵<br>Is Chengdu Avenue congested now? Looking at the map, is it likely to be congested? | Traffic Info Query | Basic Route Planning | |
| | 我在哪<br>Where am I? | Geolocation Query | Basic Information Retrieval | |
| | 知道离滇池会展中心有多远<br>How far it is from Dianchi Convention and Exhibition Center? | Route Property Query | Route-Dependent Information Retrieval | |
| | 到寨河收费站入口不走高速<br>To reach the Zhaihe toll station entrance without taking the highway. | Option-Constrained Route Planning | Preference-Constrained Route Planning | |
|
|
| ## Citation |
| If you use this dataset in your research, please cite the following paper: |
| ```bibtex |
| @article{song2026mobilitybench, |
| title={MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios}, |
| author={Song, Zhiheng and Zhang, Jingshuai and Qin, Chuan and Wang, Chao and Chen, Chao and Xu, Longfei and Liu, Kaikui and Chu, Xiangxiang and Zhu, Hengshu}, |
| journal={arXiv preprint arXiv:2602.22638}, |
| year={2026} |
| } |
| ``` |
