ABOUT_TEXT = """
## About this challenge

We're inviting the ML/bio community to predict developability properties for 244 antibodies from the [GDPa1 dataset](https://huggingface.co/datasets/ginkgo-datapoints/GDPa1).

**What is antibody developability?**

Antibodies have to be manufacturable, stable in high concentrations, and have low off-target effects.
Properties such as these can often hinder the progression of an antibody to the clinic, and are collectively referred to as 'developability'.
Here we show 5 of these properties and invite the community to submit and develop better predictors, which will be tested out on a heldout private set to assess model generalization.

**How to submit?**

TODO

**How to evaluate?**

TODO

**How to contribute?**

We'd like to add some more existing models to the leaderboard. Some examples of models we'd like to add:
- TODO

**FAQs**

"""
FAQS = {
    "Example FAQ with dropdown": """Full answer to this question""",
}