SEA-NLI is a culturally grounded Natural Language Inference (NLI) benchmark specifically designed to evaluate how well Large Language Models (LLMs) understand the diverse cultural nuances of SouthEast Asia.
Dataset Details
Dataset Description
SEA-NLI moves beyond standard NLI datasets that often rely on simple lexical overlap or translated English content. Instead, it focuses on premise–hypothesis pairs centered on specific… See the full description on the dataset page: https://huggingface.co/datasets/aisingapore/SEA-NLI.