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---
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.
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