E2MoCase is a novel curated dataset linking news stories about real-world legal cases to (i) the concrete events they describe, (ii) the emotions they evoke, and (iii) the moral foundations they frame. Articles are segmented into paragraphs, and each paragraph is independently annotated with aligned event (triggering words and involved entities), emotion labels, and moral labels, giving researchers a fine-grained lens on narrative bias. The resource paper… See the full description on the dataset page:
https://huggingface.co/datasets/lorenzozan/E2MoCase.
