OpenAttack VS allennlp

Similar to TextAttack, OpenAttack adopts modular design to assemble various attack models, in order to enable quick implementation of existing or new attack models. But OpenAttack is different from and complementary to TextAttack mainly in the following three aspects: 1) Support for all attacks. TextAttack utilizes a relatively rigorous framework to unify different attack models. However, this framework is naturally not suitable for sentence-level adversarial attacks, an important and typical kind of textual adversarial attacks. Thus, no sentence-level attack models are included in TextAttack. In contrast, OpenAttack adopts a more flexible framework that supports all types of attacks including sentence-level attacks. 2) Multilinguality. TextAttack only covers English textual attacks while OpenAttack supports English and Chinese now. And its extensible design enables quick support for more languages. 3) Parallel processing. Running some attack models maybe very time-consuming, e.g., it takes over 100 seconds to attack an instance with the SememePSO attack model (Zang et al., 2020). To address this issue, OpenAttack additionally provides support for multi-process running of attack models to improve attack efficiency.

No clue. So what I did was google the error. Here's what I found: https://github.com/allenai/allennlp/issues/4319

Another aspect we had fun with is dataset filtering. We have run the whole C4 French dataset through the Detoxify classifier to clean it up 🤬

https://github.com/allenai/allennlp/discussions looks active