Source code for pykeen.datasets.primekg

# -*- coding: utf-8 -*-

"""The PrimeKG dataset.

Get a summary with ``python -m pykeen.datasets.primekg``

import click
from docdata import parse_docdata
from more_click import verbose_option

from .base import SingleTabbedDataset
from ..typing import TorchRandomHint

__all__ = [

URL = ""

[docs]@parse_docdata class PrimeKG(SingleTabbedDataset): """The Precision Medicine Knowledge Graph (PrimeKG) dataset from [chandak2022]_. --- name: PrimeKG citation: author: Chandak year: 2022 link: github: mims-harvard/PrimeKG single: true statistics: entities: 129375 relations: 30 triples: 8100498 training: 6479992 testing: 809999 validation: 810000 """ def __init__( self, random_state: TorchRandomHint = 0, **kwargs, ): """Initialize the PrimeKG dataset from [chandak2022]_. :param random_state: The random seed to use in splitting the dataset. Defaults to 0. :param kwargs: keyword arguments passed to :class:`pykeen.datasets.base.SingleTabbedDataset`. """ super().__init__( url=URL, name="primekg.csv", random_state=random_state, download_kwargs=dict( backend="requests", ), read_csv_kwargs=dict( usecols=["x_name", "relation", "y_name"], sep=",", ), **kwargs, )
@click.command() @verbose_option def _main(): from pykeen.datasets import get_dataset ds = get_dataset(dataset=PrimeKG) ds.summarize() if __name__ == "__main__": _main()