构建意大利文化语境下的物理常识推理数据集，支持多语言评估
Culturally Grounded Physical Commonsense Reasoning in Italian and English: A Submission to the MRL 2025 Shared Task
- 基于意大利本土文化设计物理常识推理样本，由母语专家标注
- 数据同时提供意语原版与英语翻译，保留文化独特性
- 适用于跨语言常识推理研究，尤其关注文化依赖型任务
本文提交至 MRL 2025 多语言物理常识推理共享任务，旨在构建非英语语言的物理常识推理评估数据集，格式参照 PIQA。我们的贡献 FormaMentis 是一个立足于意大利语言与文化的新型基准数据集。所有数据样本由熟悉本地习俗与规范的母语意大利语专家人工标注，并进一步翻译成英语，确保意大利文化特有元素得以保留。
原文摘要 · Abstract (English)
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.
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