## Datasets suggestions

- [https://www.kaggle.com/jiriroz/qa-jokes](https://www.kaggle.com/jiriroz/qa-jokes)
- [https://www.kaggle.com/stanfordu/stanford-question-answering-dataset](https://www.kaggle.com/stanfordu/stanford-question-answering-dataset)
- [https://www.kaggle.com/thoughtvector/customer-support-on-twitter](https://www.kaggle.com/thoughtvector/customer-support-on-twitter)
- [https://www.kaggle.com/veeralakrishna/questionanswer-combination](https://www.kaggle.com/veeralakrishna/questionanswer-combination)
- [https://rajpurkar.github.io/SQuAD-explorer/](https://rajpurkar.github.io/SQuAD-explorer/)
- [https://tweetqa.github.io/](https://tweetqa.github.io/)


## Data augmentation

- [https://github.com/makcedward/nlpaug](https://github.com/makcedward/nlpaug)
- [https://towardsdatascience.com/these-are-the-easiest-data-augmentation-techniques-in-natural-language-processing-you-can-think-of-88e393fd610](https://towardsdatascience.com/these-are-the-easiest-data-augmentation-techniques-in-natural-language-processing-you-can-think-of-88e393fd610)