Working with NLP datasets in Python

In the field of Deep Learning, datasets are an essential part of every project. To train a neural network that can handle new situations, one has to use a dataset that represents the upcoming scenarios of the world. An image classification model trained on animal images will not perform well on a car classification task. Alongside training the best models, researchers use public datasets as a benchmark of their model performance. I personally think that easy-to-use public benchmarks are one of the most useful tools to help facilitate the research process. A great example of this is the Papers With Code state-of-the-art charts.