Please read the topic category description 1 to understand what this is all about


Description
If you’ve ever worked in research, then you know that picking a catchy title for your articles is not easy! In this project, we’ll train a summarization model that can convert abstracts into titles.

Model(s)
Several of the Summarization models 3 on the Hub should serve as a good starting point for this project.

Datasets
There are several scientific datasets available on the Hub:

arxiv_dataset 6
pubmed 3


Challenges
Training a model that can summarise across any scientific domain is unlikely to be feasible. We recommend picking one subdomain (e.g. high-energy physics) and focusing your efforts there.

Desired project outcomes

Create a Streamlit or Gradio app on  Spaces 1 that can generate titles from a given abstract.
Don’t forget to push all your models and datasets to the Hub so others can build on them!


Additional resources

https://cs230.stanford.edu/projects_spring_2020/reports/38954132.pdf 4


Discord channel
To chat and organise with other people interested in this project, head over to our Discord 1 and:

Follow the instructions on the #join-course channel
Join the science-title-generator channel

Just make sure you comment here to indicate that you’ll be contributing to this project