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--- |
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license: mit |
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configs: |
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- config_name: dataset |
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data_files: "dataset.csv" |
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--- |
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# Description |
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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). |
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**Protein Format:** AA sequence |
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# Splits |
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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: |
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- Train: 53614 |
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- Valid: 2512 |
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- Test: 12851 |
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# Label |
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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). |
