Omkar2118/datasets huggingface dataset:
AdvGLUE
Full name: Adversarial GLUE

Adversarial GLUE (AdvGLUE) is a new multi-task benchmark to quantitatively and thoroughly explore and evaluate the vulnerabilities of modern large-scale language models under various types of adversarial attacks. In particular, we systematically apply 14 textual adversarial attack methods to [GLUE](/dataset/glue) tasks to construct AdvGLUE, which is further validated by humans for reliable annotations.

Description from: [Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models](https://paperswithcode.com/paper/adversarial-glue-a-multi-task-benchmark-for)

Introducing paper: Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models