• Purpose of this project is to compare text summarization of T5 and Bart transformers.

• 76000+ reviews of hotels are used as a dataset for this project taken from here:

In order to run this, you need anaconda installed on your machine with pytorch and huggingface transformers installed.

Below is the link for installation instructions for Huggingface Transformers:

You can run this project in Jupyter Notebook as I used Google Colaboratory.

There are some code differences as my paths are from Google Drive, so you can change them as required.

• Rouge-l used as evaluation metric is being taken from this GitHub repository:

For this awesome implementation of Rouge-l, thanks to Pengcheng YIN