Lambada

LAMBADA is a task designed to evaluate the ability of natural language processing models to understand long-distance dependencies, aiming to test how well these models can capture and reason with contextual information. By using cloze tests with complex sentence structures, LAMBADA can measure the extent to which models possess human-level language understanding and generation capabilities, thereby promoting more advanced research and development in language models.