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Sinhala Physical Common Sense Reasoning Dataset for Global PIQA

Nisansa de Silva, Surangika Ranathunga
arXiv preprint arXiv:2602.02207

This paper presents the first-ever Sinhala physical common sense reasoning dataset created as part of Global PIQA. It contains 110 human-created and verified data samples, where each sample consists of a prompt, the corresponding correct answer, and a wrong answer. Most of the questions refer to the Sri Lankan context, where Sinhala is an official language.

Keywords: Sinhala | Machine Learning / Deep Learning | Common Sense Reasoning | Physical Reasoning | Low-resource Languages | Language Resources | LLM | Cultural Alignment | 

@article{de2026sinhala,
  title={{Sinhala Physical Common Sense Reasoning Dataset for Global PIQA}},
  author={de Silva, Nisansa and Ranathunga, Surangika},
  journal={arXiv preprint arXiv:2602.02207},
  year={2026},
  abstract={This paper presents the first-ever Sinhala physical common sense reasoning dataset created as part of Global PIQA. It contains 110 human-created and verified data samples, where each sample consists of a prompt, the corresponding correct answer, and a wrong answer. Most of the questions refer to the Sri Lankan context, where Sinhala is an official language.},
  doi={10.48550/arXiv.2602.02207},
  misc={https://arxiv.org/pdf/2602.02207,SIN:ML,https://goo.gl/iY6aTr}
}

Artefacts Released

HuggingFace Dataset
Global PIQA Non-Parallel

Global PIQA is a participatory commonsense reasoning benchmark for over 100 languages, constructed by hand by over 350 researchers from over 65 countries around the world. The non-parallel split covers 136 language varieties, covering five continents, 18 language families, and 24 writing systems. In this non-parallel split, over 50% of examples reference local foods, customs, traditions, or other \xe2\x80\xa6

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