class_docstr: Small util which generates the path/urls for the dataframes.
docstr: Returns the html tag.
docstr_tok: ["Returns","the","html","tag","."]
code: def get_html_tag(self, builder: tfds.core.DatasetBuilder) -> str:
      """Returns the html tag."""
      url = self.get_url(builder)
      button_id = "displaydataframe"
      content_id = "dataframecontent"
      visualization_html = f"""
      <!-- mdformat off(HTML should not be auto-formatted) -->
  
      {{% framebox %}}
  
      <button id="{button_id}">Display examples...</button>
      <div id="{content_id}" style="overflow-x:auto"></div>
      <script>
      const url = "{url}";
      const dataButton = document.getElementById('{button_id}');
      dataButton.addEventListener('click', async () => {{
        // Disable the button after clicking (dataframe loaded only once).
        dataButton.disabled = true;
  
        const contentPane = document.getElementById('{content_id}');
        try {{
          const response = await fetch(url);
          // Error response codes don't throw an error, so force an error to show
          // the error message.
          if (!response.ok) throw Error(response.statusText);
  
          const data = await response.text();
          contentPane.innerHTML = data;
        }} catch (e) {{
          contentPane.innerHTML =
              'Error loading examples. If the error persist, please open '
              + 'a new issue.';
        }}
      }});
      </script>
  
      {{% endframebox %}}
  
      <!-- mdformat on -->
      """
      return textwrap.dedent(visualization_html)
  
imports: import collections
  import dataclasses
  import json
  import os
  import textwrap
  from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
  import tensorflow_datasets
  from tensorflow_datasets.core import constants
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
label_desc: Use image node_id 4 for calling the DataframeDocUtil obj's underlying member method code with example usage: obj.get_html_tag(builder) and returns: textwrap