---
license: mit
configs:
- config_name: dataset
  data_files: "dataset.csv"
---
# Description
Stability Landscape Prediction is a regression task where each input protein *x* is mapped to a label *y* ∈ *R* measuring the most extreme circumstances in which protein *x* maintains its fold above a concentration threshold (a proxy for intrinsic stability).

**Protein Format:** AA sequence 

# Splits

The dataset is from [**Evaluating Protein Transfer Learning with TAPE**](https://arxiv.org/abs/1906.08230). We follow the original data splits, with the number of training, validation and test set shown below:

- Train: 53614
- Valid: 2512
- Test:  12851

# Label

The label is the fitness of the protein measuring the most extreme circumstances in which the protein maintains its fold above a concentration threshold (a proxy for intrinsic stability).