code: def higgs():
      """
      Download "higgs" [1] data set.
  
      Will return two pandas.DataFrame-s, first with train part and second with
      test part of the dataset. Object class will be located in the first
      column of dataset.
  
      [1]: https://archive.ics.uci.edu/ml/datasets/HIGGS
      """
      url = "https://storage.mds.yandex.net/get-devtools-opensource/250854/higgs.tar.gz"
      md5 = "ad59ba8328a9afa3837d7bf1a0e10e7b"
      dataset_name, train_file, test_file = (
          "higgs",
          "train.tsv",
          "test.tsv",
      )
      train_path, test_path = _download_dataset(
          url, md5, dataset_name, train_file, test_file, cache=True
      )
      return (
          _load_numeric_only_dataset(
              train_path, 10500000, 29, sep="\t"
          ),
          _load_numeric_only_dataset(test_path, 500000, 29, sep="\t"),
      )
  
imports: import hashlib
  import logging
  import numpy
  import os
  import pandas
  import tarfile
  import tempfile
  import six
  import shutil
  from .core import PATH_TYPES, fspath
label_desc: Use image node_id 20 for calling a global function with example usage: higgs() and returns: _load_numeric_only_dataset,  _load_numeric_only_dataset