PLURAL: A Global Dataset for Value Alignment
Summary
Introduces PLURAL, a large-scale preference dataset grounded in the Integrated Values Survey across 92 countries, with ~500,000 preference triplets from 20 diverse countries, aimed at improving cultural value alignment in LLMs.
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# PLURAL: A Global Dataset for Value Alignment Source: [https://arxiv.org/abs/2607.08034](https://arxiv.org/abs/2607.08034) [View PDF](https://arxiv.org/pdf/2607.08034) > Abstract:Large language models \(LLMs\) are used worldwide, yet disproportionately reflect Western values, limiting their ability to represent diverse value systems\. We introduce PLURAL, a large\-scale, value\-focused preference dataset grounded in the Integrated Values Survey \(IVS\), a nationally representative survey spanning 92 countries\. Using a two\-stage generation pipeline, we transform survey responses into synthetic preference triplets that preserve normative value signals while producing realistic scenarios\. We release an initial version of PLURAL containing ~500,000 preference triplets representing people in 20 diverse countries\. We evaluate PLURAL in three ways: \(i\) dataset\-level validation showing that it preserves both cross\-country value differences and within\-country diversity from the original survey; \(ii\) automated evaluation showing that training on PLURAL improves alignment with target countries' cultural profiles, reducing mean absolute error by up to 27\.7% relative to strong baselines; and \(iii\) blind human evaluation with 176 evaluators in India, Brazil, and Japan, who judge PLURAL\-aligned responses as more representative of their national values\. Together, these results show that PLURAL contains learnable signal for value steering, offering a scalable resource for pluralistic alignment\. Dataset:[this https URL](https://huggingface.co/datasets/agdhruv/plural-alignment) ## Submission history From: Dhruv Agarwal \[[view email](https://arxiv.org/show-email/e34725fc/2607.08034)\] **\[v1\]**Thu, 9 Jul 2026 01:18:17 UTC \(2,273 KB\)
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