class_docstr: Malicious URLs dataset.
  
  This dataset contains features about URLs that are classified as malicious or not.
  
  References
  ----------
  [^1]: [Detecting Malicious URLs](http://www.sysnet.ucsd.edu/projects/url/)
  [^2]: [Identifying Suspicious URLs: An Application of Large-Scale Online Learning](http://cseweb.ucsd.edu/~jtma/papers/url-icml2009.pdf)
code: def __init__(self):
      super().__init__(
          n_samples=2_396_130,
          n_features=3_231_961,
          task=base.BINARY_CLF,
          url="http://www.sysnet.ucsd.edu/projects/url/url_svmlight.tar.gz",
          filename="url_svmlight",
          size=2_210_273_352,
          sparse=True,
      )
  
imports: from __future__ import annotations
  import os
  from .None import base
label_desc: Use image node_id 1 to create a new MaliciousURL object from inherited base classes: base with example: obj = MaliciousURL()