metadata
dataset_info:
features:
- name: pdb_id
dtype: string
- name: pkd
dtype: float64
- name: SeqA
dtype: string
- name: SeqB
dtype: string
- name: source
dtype: string
- name: kd
dtype: float64
splits:
- name: train
num_bytes: 6001169
num_examples: 11078
download_size: 1712160
dataset_size: 6001169
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Affinity dataset from Bindwell (1/27/25). Natively fairly nonredundant via indel sequence similarity calculations.
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.rename_column('pkd', 'labels')
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 Bindwell's work if you use this dataset.