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---
dataset_info:
features:
- name: pdb_id
dtype: string
- name: labels
dtype: float64
- name: SeqA
dtype: string
- name: SeqB
dtype: string
- name: source
dtype: string
- name: kd
dtype: float64
splits:
- name: train
num_bytes: 5998837
num_examples: 11076
download_size: 1697045
dataset_size: 5998837
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Affinity dataset from [Bindwell](https://github.com/Bindwell/APPT)
Natively fairly nonredundant via indel sequence similarity calculations.
<img src="https://cdn-uploads.huggingface.co/production/uploads/62f2bd3bdb7cbd214b658c48/o7iHaBUhk6fwZusSusls9.png" width="600">
Note:
There are two NaNs in the `protein2_sequence` column of the original dataset - we removed these rows.
## Example use
```python
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. |