mohanks/glue

GLUE（通用语言理解评估基准）是一个用于训练、评估和分析自然语言理解系统的资源集合。它包括多个任务，如自然语言推理、语义相似性评分、情感分类等，旨在全面评估模型的语言理解能力。数据集包含多种配置，如ax、cola、mnli等，每个配置针对不同的语言理解任务。

GLUE, the General Language Understanding Evaluation benchmark, is a collection of resources for training, evaluating, and analyzing natural language understanding systems. It includes multiple tasks such as natural language inference, semantic similarity scoring, sentiment classification, etc., designed to comprehensively evaluate the language understanding capabilities of models. The dataset contains various configurations like ax, cola, mnli, etc., each targeting different language understanding tasks.