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Affinity dataset from Bindwell

Natively fairly nonredundant via indel sequence similarity calculations.

Note:

There are two NaNs in the protein2_sequence column of the original dataset - we removed these rows.

Example use

from datasets import load_dataset

def get_affinity_data():
    data = load_dataset("Synthyra/ProteinProteinAffinity", split="train")
    data = data.remove_columns(['pdb_id', 'source', 'kd'])
    data = data.shuffle(seed=11)
    data = data.train_test_split(test_size=1000, seed=22)
    valid = data['test']
    train = data['train']
    valid = valid.train_test_split(test_size=500, seed=33)
    test = valid['test']
    valid = valid['train']
    return train, valid, test

Please cite

Please cite Bindwell's work if you use this dataset.

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