class_docstr: The Clinical Knowledge Graph (CKG) dataset from [santos2020]_.
  
  ---
  name: Clinical Knowledge Graph
  citation:
      author: Santos
      year: 2020
      link: https://doi.org/10.1101/2020.05.09.084897
      github: MannLabs/CKG
  single: true
  statistics:
      entities: 7617419
      relations: 11
      triples: 26691525
      training: 21353220
      testing: 2669152
      validation: 2669153
class_docstr_tok: ["The","Clinical","Knowledge","Graph","(","CKG",")","dataset","from","[","santos2020","]","_",".","--","-","name",":","Clinical","Knowledge","Graph","citation",":","author",":","Santos","year",":","2020","link",":","https",":","\/\/doi.org\/10.1101\/2020.05.09.084897","github",":","MannLabs\/CKG","single",":","true","statistics",":","entities",":","7617419","relations",":","11","triples",":","26691525","training",":","21353220","testing",":","2669152","validation",":","2669153"]
code: def _get_df(self) -> pd.DataFrame:
      if self.preloaded_path.exists():
          return pd.read_csv(self.preloaded_path, sep="\t", dtype=str)
      df = pd.concat(self._iterate_dataframes())
      df.to_csv(self.preloaded_path, sep="\t", index=False)
      return df
  
file_path: pykeen/src/pykeen/datasets/ckg.py
imports: import pathlib
  import tarfile
  from pathlib import Path
  from typing import Iterable, Optional
  from urllib.request import urlretrieve
  import click
  import pandas
  from docdata import parse_docdata
  from more_click import verbose_option
  from .base import TabbedDataset
  from ..typing import TorchRandomHint
label_desc: Use image node_id 3 for calling the CKG obj's underlying member method code with example usage: obj._get_df() and returns: df, pd