class_docstr: English CNNDM summarization dataset.
class_docstr_tok: ["English","CNNDM","summarization","dataset","."]
code: def init_spec(cls) -> lit_types.Spec:
      default_filepath = ""
      return {
          "split": lit_types.String(default="validation"),
          "max_examples": lit_types.Integer(
              default=1000, min_val=0, max_val=10_000, required=False
          ),
          "max_seq_len": lit_types.Integer(
              default=500, min_val=1, max_val=1024
          ),
          "filepath": lit_types.String(
              default=default_filepath, required=False
          ),
      }
  
file_path: lit/lit_nlp/examples/datasets/summarization.py
imports: from typing import Optional
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  from lit_nlp.lib import file_cache
  import pandas
  import tensorflow_datasets
label_desc: Use image node_id 2 for calling the CNNDMData obj's underlying member method code with example usage: obj.init_spec(cls) and returns: dict