---
license: mit
configs:
- config_name: dataset
  data_files: "dataset.csv"
---

# Description

Thermostability prediction is a regression task where each input protein *x* is mapped to a label *y* ∈ *R*, corresponding to the thermostability of *x*.

# Splits

**Structure type:** AF2

The dataset is from [**FLIP: Benchmark tasks in fitness landscape inferencefor proteins**](https://www.biorxiv.org/content/10.1101/2021.11.09.467890v2). We employ all proteins from the“Human-cell”splits (proteins that lack AF2 structures are removed), and split them based on 70% structure similarity (see [ProteinShake](https://github.com/BorgwardtLab/proteinshake/tree/main)), with the number of training, validation and test set shown below:

- Train: 5310
- Valid: 706
- Test:  706

# Label

This label indicates the thermostability of the protein, ranging from 0 to 1.