---
license: mit
configs:
- config_name: dataset
  data_files: "dataset.csv"
---

# Description
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.



# Splits

**Protein Format:** SA sequence (PDB)

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:

- Train: 5797
- Valid: 719
- Test:  719

# Label

The label means whether there are metal ion–binding sites in the protein.

0: No 

1: Yes