--- license: cc-by-4.0 language: - zh - en tags: - travel-planning - language-agents - benchmark configs: - config_name: attractions data_files: - split: zh path: data/zh/attractions.parquet - split: en path: data/en/attractions.parquet - config_name: restaurants data_files: - split: zh path: data/zh/restaurants.parquet - split: en path: data/en/restaurants.parquet - config_name: accommodations data_files: - split: zh path: data/zh/accommodations.parquet - split: en path: data/en/accommodations.parquet - config_name: trains data_files: - split: zh path: data/zh/trains.parquet - split: en path: data/en/trains.parquet - config_name: flights data_files: - split: zh path: data/zh/flights.parquet - split: en path: data/en/flights.parquet - config_name: poi data_files: - split: zh path: data/zh/poi.parquet - split: en path: data/en/poi.parquet - config_name: subway_stations data_files: - split: zh path: data/zh/subway_stations.parquet - split: en path: data/en/subway_stations.parquet --- # ChinaTravel Sandbox Environment Database This dataset is licensed under [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/). [English](#english) | [简体中文](#简体中文) Release version: `2026.08.2` ## English This dataset contains the bilingual static sandbox used by [ChinaTravel](https://github.com/LAMDA-NeSy/ChinaTravel). It is a companion to the [ChinaTravel query dataset](https://huggingface.co/datasets/LAMDA-NeSy/ChinaTravel) and an artifact of the [ChinaTravel paper](https://huggingface.co/papers/2412.13682). The raw ZIP snapshots preserve the exact directory layout expected by the ChinaTravel evaluator. Viewer-friendly Parquet configs provide normalized tables for exploration and analysis. The raw snapshots remain the source of truth for benchmark execution. ### Load normalized tables ```python from datasets import load_dataset attractions_en = load_dataset( "LAMDA-NeSy/ChinaTravel-Sandbox", "attractions", split="en", ) trains_zh = load_dataset( "LAMDA-NeSy/ChinaTravel-Sandbox", "trains", split="zh", ) ``` ### Table sizes | Config | Chinese rows | English rows | | --- | ---: | ---: | | `attractions` | 3413 | 3413 | | `restaurants` | 4655 | 4655 | | `accommodations` | 3866 | 3866 | | `trains` | 5345 | 5345 | | `flights` | 720 | 720 | | `poi` | 12172 | 12172 | | `subway_stations` | 3635 | 3635 | ### Use with ChinaTravel Download and extract one raw archive: - `raw/ChinaTravel_sandbox_zh.zip` contains `database/`. - `raw/ChinaTravel_sandbox_en.zip` contains `database_en/`. Place the extracted directory under `chinatravel/environment/`. The English snapshot uses canonical concept labels. Its exact changes are documented in `manifests/ENGLISH_FIXES.md` and `manifests/english_manifest.json`. Per-source-file checksums and a release manifest are included under `manifests/` and at the repository root. ### Data quality policy in 2026.08.2 - The canonical Chinese executable cuisine value for the 66 corresponding Shanghai restaurant rows is `本帮菜`; the English value remains `Shanghai cuisine`. - Natural-language queries may use varied expressions such as “上海菜”, “本帮菜”, or “上海特色美食”. Only executable DSL values are canonicalized. - The corrected `18:00` closing time for `富春山居号游船` / `Fuchun Mountain Residence Cruise` is retained. Release `2026.08.1` briefly used `上海菜` as the Chinese executable value. The exact correction and validation boundary are documented in `manifests/`. ## 简体中文 本数据集包含 ChinaTravel 使用的中英文静态沙盒,是 [ChinaTravel Query 数据集](https://huggingface.co/datasets/LAMDA-NeSy/ChinaTravel) 的配套资源,也是 [ChinaTravel 论文](https://huggingface.co/papers/2412.13682)的关联产物。 `raw/` 中的 ZIP 保留测评代码所需的原始目录结构,是正式运行基准时的权威数据; Parquet config 用于 Hub viewer、检索和统计分析。 ```python from datasets import load_dataset restaurants_zh = load_dataset( "LAMDA-NeSy/ChinaTravel-Sandbox", "restaurants", split="zh", ) poi_en = load_dataset( "LAMDA-NeSy/ChinaTravel-Sandbox", "poi", split="en", ) ``` 解压中文包后得到 `database/`,解压英文包后得到 `database_en/`,将对应目录放到 `chinatravel/environment/` 即可。英文版本已统一概念标签,具体修改和校验信息见 `manifests/`。 `2026.08.2` 将上海餐馆的中文可执行菜系规范值恢复为“本帮菜”,英文对应值仍为 `Shanghai cuisine`。自然语言 Query 可以继续使用“上海菜”“本帮菜”“上海特色美食” 等多样化表达,只有 DSL 和沙盒内部值需要统一。上一版已修复的富春山居号游船 `18:00` 闭馆时间保持不变,精确变更记录见 `manifests/`。 ## Citation ```bibtex @inproceedings{shao2026chinatravel, title = {ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents}, author = {Jie-Jing Shao and Bo-Wen Zhang and Xiao-Wen Yang and Baizhi Chen and Siyu Han and Pang Jinghao and Wen-Da Wei and Guohao Cai and Zhenhua Dong and Lan-Zhe Guo and Yu-Feng Li}, booktitle = {The Fourteenth International Conference on Learning Representations}, year = {2026}, url = {https://openreview.net/forum?id=0YRVlxY9BH} } ```