class_docstr: LAMBADA is a dataset to evaluate the capabilities of computational models for text understanding by means of a word prediction task.
code: def _info(self):
      features = datasets.Features(
          {
              "text": datasets.Value("string"),
          }
      )
      return datasets.DatasetInfo(
          description=f"{_DESCRIPTION}\n{self.config.description}",
          features=features,
          homepage=_HOMEPAGE,
          license=_LICENSE,
          citation=_CITATION,
      )
  
file_path: lm-evaluation-harness/lm_eval/datasets/lambada_ja/lambada_ja.py
imports: import os
  import json
  import datasets
label_desc: Use image node_id 1 for calling the LambadaOpenAI obj's underlying member method code with example usage: obj._info() and returns: datasets