UGSC Multilingual Sentiment Dataset for Sustainable Mobility

This dataset contains the multilingual version of the User Gold Standard Corpus (UGSC) used in the study “Cross-Lingual Sentiment Classification in Sustainable Mobility: A Zero-Shot Evaluation Framework”.It includes sentence-aligned translations into five languages (English, Spanish, French, German, and Italian) and classification results using a pre-trained XLM-RoBERTa model.The dataset supports reproducible evaluation of multilingual sentiment models and contributes to research in transport-related NLP applications.