--- dataset_info: - config_name: opinion features: - name: question dtype: string - name: selections struct: - name: Andorra list: float64 - name: Argentina list: float64 - name: Armenia list: float64 - name: Australia list: float64 - name: Bangladesh list: float64 - name: Bolivia list: float64 - name: Brazil list: float64 - name: Canada list: float64 - name: Chile list: float64 - name: Colombia list: float64 - name: Cyprus list: float64 - name: Czechia list: float64 - name: Ecuador list: float64 - name: Ethiopia list: float64 - name: Germany list: float64 - name: Greece list: float64 - name: Guatemala list: float64 - name: Hong Kong SAR list: float64 - name: India list: float64 - name: Indonesia list: float64 - name: Japan list: float64 - name: Kenya list: float64 - name: Libya list: float64 - name: Malaysia list: float64 - name: Maldives list: float64 - name: Mexico list: float64 - name: Mongolia list: float64 - name: Morocco list: float64 - name: Netherlands list: float64 - name: New Zealand list: float64 - name: Nicaragua list: float64 - name: Nigeria list: float64 - name: Peru list: float64 - name: Philippines list: float64 - name: Puerto Rico list: float64 - name: Romania list: float64 - name: Russia list: float64 - name: Serbia list: float64 - name: Singapore list: float64 - name: Slovakia list: float64 - name: South Korea list: float64 - name: Taiwan ROC list: float64 - name: Tajikistan list: float64 - name: Thailand list: float64 - name: Tunisia list: float64 - name: Turkey list: float64 - name: Ukraine list: float64 - name: United States list: float64 - name: Venezuela list: float64 - name: Zimbabwe list: float64 - name: options list: string - name: source dtype: string splits: - name: train num_bytes: 204742 num_examples: 300 download_size: 120595 dataset_size: 204742 - config_name: persona features: - name: Country dtype: string - name: Language dtype: string - name: Count dtype: int64 - name: Participants list: - name: Age dtype: int64 - name: Education Level dtype: string - name: Gender dtype: string - name: Marital Status dtype: string - name: Occupational Group dtype: string - name: Political Preference dtype: string - name: Religion dtype: string - name: Social Class dtype: string splits: - name: train num_bytes: 6486294 num_examples: 50 download_size: 195709 dataset_size: 6486294 configs: - config_name: opinion data_files: - split: train path: opinion/train-* - config_name: persona data_files: - split: train path: persona/train-* --- # MAPS: Multilingual Agent Perspective Survey Check out our Multilingual Society Simulation research paper at [arXiv](https://arxiv.org/pdf/2512.07195), and code implementation at [GitHub](https://github.com/magicgh/MASim). ## Get Started ```py from datasets import load_dataset def load_global_opinions_question(): ds = load_dataset("magicgh/MAPS", "opinion", split="train") return ds def load_global_opinions_persona(): ds = load_dataset("magicgh/MAPS", "persona", split="train") return ds ``` ## Citation ``` @article{masim, title={MASim: Multilingual Agent-Based Simulation for Social Science}, author={Zhang, Xuan and Zhang, Wenxuan and Wang, Anxu and Ng, See-Kiong and Deng, Yang}, journal={arXiv preprint arXiv:2512.07195}, year={2025} } ```