What are TextAttack datasets?
An example of an AI chatbot conversation about TextAttack datasets for adversarial attacks.
What are TextAttack datasets?
TextAttack datasets are collections of text data used to evaluate and train models for adversarial attacks in NLP.
How are these datasets created?
They are typically generated by applying various perturbation techniques to existing datasets to create adversarial examples.
Can you give me an example of a TextAttack dataset?
Sure! One example is the AG News dataset, which has been modified to include adversarial samples for testing.
What is the purpose of using these datasets?
The purpose is to improve the robustness of NLP models against adversarial attacks by training them on challenging examples.
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