|
---
|
|
license: cc-by-nc-4.0
|
|
task_categories:
|
|
- question-answering
|
|
language:
|
|
- zh
|
|
- en
|
|
tags:
|
|
- social
|
|
- survey
|
|
- evaluation
|
|
- simulation
|
|
pretty_name: DEFSurveySim
|
|
size_categories:
|
|
- 1K<n<10K
|
|
---
|
|
# Dataset Card for DEFSurveySim |
|
|
|
## Dataset Summary |
|
This dataset comprises carefully selected questions about human value preferences from major social surveys: |
|
|
|
- **[World Values Survey (WVS-2023)](https://www.worldvaluessurvey.org/wvs.jsp)**: A global network of social scientists studying changing values and their impact on social and political life. |
|
- **[General Social Survey (GSS-2022)](https://gss.norc.org/About-The-GSS)**: A survey of American adults monitoring trends in opinions, attitudes, and behaviors towards demographic, behavioral, and attitudinal questions, plus topics of special interest. |
|
- **[Chinese General Social Survey (CGSS-2018)](http://cgss.ruc.edu.cn/English/Home.htm)**: The earliest nationwide and continuous academic survey in China collecting data at multiple levels of society, community, family, and individual. |
|
- **[Ipsos Understanding Society survey](https://www.ipsos.com/en-uk/understanding-society)**: The preeminent online probability-based panel that accurately represents the adult population of the United States. |
|
- **[American Trends Panel](https://www.pewresearch.org/our-methods/u-s-surveys/the-american-trends-panel/)**: A nationally representative online survey panel, consisting of over 10,000 randomly selected adults from across the United States. |
|
- **[USA Today/Ipsos Poll](https://doi.org/10.25940/ROPER-31120147)**: Surveys a diverse group of 1,023 adults aged 18 or older, including 311 Democrats, 290 Republicans, and 312 independents. |
|
- **[Chinese Social Survey](http://css.cssn.cn/css\_sy/)**: Longitudinal surveys focus on labor and employment, family and social life, and social attitudes. |
|
|
|
The data supports research described in: [Towards Realistic Evaluation of Cultural Value Alignment in Large Language Models: Diversity Enhancement for Survey Response Simulation]() |
|
|
|
## Purpose |
|
This dataset enables: |
|
1. Evaluation of LLMs' cultural value alignment through survey response simulation |
|
2. Comparison of model-generated preference distributions against human reference data |
|
3. Analysis of how model architecture and training choices impact value alignment |
|
4. Cross-cultural comparison of value preferences between U.S. and Chinese populations |
|
|
|
## Data Structure |
|
``` |
|
DEF_survey_sim/ |
|
├── Characters/ |
|
│ ├── US_survey/ |
|
│ │ ├── Character.xlsx |
|
│ │ └── ... |
|
│ └── CN_survey/ |
|
│ ├── Character.xlsx |
|
│ └── ... |
|
├── Pref_distribution/ |
|
│ ├── usa_ref_score_all.csv |
|
│ └── zh_ref_score_all.csv |
|
├── Chinese_questionaires.txt |
|
└── English_questionaires.txt |
|
``` |
|
|
|
### Data Format Details |
|
1. **Txt Files**: Original survey questions in txt format, maintaining survey integrity |
|
2. **Characters**: Demographic breakdowns including: |
|
- Age groups (under 29, 30-49, over 50) |
|
- Gender (male, female) |
|
- Dominant demographic characteristics per question |
|
3. **Preference Distributions**: Statistical distributions of human responses for benchmark comparison |
|
|
|
## Usage Guidelines |
|
For implementation details and code examples, visit our [GitHub repository](https://github.com/alexc-l/DEF-Value-investigation). |
|
|
|
## Limitations and Considerations |
|
- Surveys were not originally designed for LLM evaluation |
|
- Cultural context and temporal changes may affect interpretation |
|
- Response patterns may vary across demographics and regions |
|
- Limited construct validity when applied to artificial intelligence |
|
|
|
## Contact Information |
|
- Research inquiries: [email protected] |
|
- Technical support: [GitHub Issues](https://github.com/alexc-l/DEF-Value-investigation/issues) |
|
|
|
## Citation |
|
```bibtex |
|
TODO |
|
``` |