metadata
license: mit
task_categories:
- tabular-classification
- tabular-regression
language:
- fa
- en
tags:
- socio-economic
- active-learning
- preference-learning
- tabular
- finance
size_categories:
- 1M<n<10M
This dataset contains anonymized socio-economic data directly from the Iranian Welfare Embassy. It was collected and prepared for tasks related to socio-economic modeling and preference learning.
The main prediction task is to determine the 'percentile' column, which represents the socio-economic percentile of a household.
This dataset was first introduced in the following paper:
Cold Start Active Preference Learning in Socio-Economic Domains Mojtaba Fayaz-Bakhsh, Danial Ataee, MohammadAmin Fazli arXiv:2508.05090 [cs.LG]
@misc{fayazbakhsh2025coldstartactivepreference,
title={Cold Start Active Preference Learning in Socio-Economic Domains},
author={Mojtaba Fayaz-Bakhsh and Danial Ataee and MohammadAmin Fazli},
year={2025},
eprint={2508.05090},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2508.05090},
}
If you use this dataset in your work, please cite it :)