metadata

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. We employ all proteins from the original dataset, and split them based on 70% structure similarity (see ProteinShake), 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