This repo contains the data (question/answer pairs and their associated passages from Wikipedia) collected and used in the following paper

Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih. "On the Efficacy of Adversarial Data Collection for Question Answering Results from a Large-Scale Randomized Study." In ACL-IJCNLP 2021.

The data has been arranged in two folders: BERT and ELECTRA, each corresponding to the model that was in the loop. Inside each directory, there are three sub-folders for each setting (fooled, random, and no-model). Each folder contains the training, validation, and test set files (formatted in the SQuAD JSON format) for the respective setting.

If you use our data, please cite the paper that introduced the resource with the following BibTeX:

@inproceedings{kaushik2021efficacy,
  title={On the Efficacy of Adversarial Data Collection for Question Answering Results from a Large-Scale Randomized Study},
  author={Kaushik, Divyansh and Kiela, Douwe and Lipton, Zachary C and Yih, Wen-tau},
  journal={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP)},
  year={2021}
}

Please check the LICENSE file.