| | --- |
| | 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). |
