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---
dataset_info:
- config_name: opinion
features:
- name: question
dtype: string
- name: selections
struct:
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list: float64
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list: float64
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list: float64
- name: options
list: string
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dtype: string
splits:
- name: train
num_bytes: 204742
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download_size: 120595
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- 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}
}
```
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