Culturally Grounded Physical Commonsense Reasoning in Italian and English: A Submission to the MRL 2025 Shared Task
Marco De Santis, Lisa Alazraki
TL;DR
This paper tackles the scarcity of multilingual physical commonsense datasets by introducing FormaMentis, an expert-crafted Italian benchmark for physical reasoning that is culturally grounded. The dataset follows a PIQA-like format (prompt with two completions, one correct) and covers three everyday domains—household, cuisine, and entertainment—while providing carefully translated English versions that retain Italian cultural references. It emphasizes stringent data-quality controls through a native-speaker validation protocol and guarantees novelty by requiring manual creation rather than translation from other sources. With 120 samples (40 per domain) and a diverse range of prompt lengths (26–452 words), FormaMentis enables robust cross-lingual evaluation of models on culturally nuanced physical reasoning beyond English, potentially guiding future multilingual and multimodal extensions.
Abstract
This paper presents our submission to the MRL 2025 Shared Task on Multilingual Physical Reasoning Datasets. The objective of the shared task is to create manually-annotated evaluation data in the physical commonsense reasoning domain, for languages other than English, following a format similar to PIQA. Our contribution, FormaMentis, is a novel benchmark for physical commonsense reasoning that is grounded in Italian language and culture. The data samples in FormaMentis are created by expert annotators who are native Italian speakers and are familiar with local customs and norms. The samples are additionally translated into English, while preserving the cultural elements unique to the Italian context.
