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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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Metal Ion Binding prediction is a binary classification task where each input protein *x* is mapped to a label *y* ∈ {0, 1}, corresponding to whether there are metal ion–binding sites in the protein. |
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# Splits |
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**Protein Format:** SA sequence (PDB) |
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The dataset is from [**Exploring evolution-aware & -free protein language models as protein function predictors**](https://arxiv.org/abs/2206.06583). We employ all proteins from the original dataset, 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: |
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- Train: 5797 |
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- Valid: 719 |
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- Test: 719 |
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# Label |
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The label means whether there are metal ion–binding sites in the protein. |
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0: No |
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1: Yes |
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