class_docstr: Reddit Disentanglement dataset.
class_docstr_tok: ["Reddit","Disentanglement","dataset","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  _THREAD_KEY: tfds.features.Sequence(
                      tfds.features.FeaturesDict(
                          {
                              _MESSAGE_ID: tfds.features.Text(),
                              _MESSAGE_TEXT: tfds.features.Text(),
                              _MESSAGE_TIMESTAMP: tfds.features.Text(),
                              _MESSAGE_AUTHOR: tfds.features.Text(),
                              _MESSAGE_LINK_ID: tfds.features.Text(),
                              _MESSAGE_PARENT_ID: tfds.features.Text(),
                          }
                      )
                  )
              }
          ),
          homepage="https://github.com/henghuiz/MaskedHierarchicalTransformer",
      )
  
file_path: datasets/tensorflow_datasets/datasets/reddit_disentanglement/reddit_disentanglement_dataset_builder.py
imports: import collections
  import csv
  import itertools
  import os
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self