class_docstr: Load sentences from a flat text file.
class_docstr_tok: ["Load","sentences","from","a","flat","text","file","."]
code: def init_spec(cls) -> lit_types.Spec:
      default_path = ""
  
      return {
          "path_or_glob": lit_types.String(
              default=default_path, required=False
          ),
          "skiplines": lit_types.Integer(default=0, max_val=25),
          "max_examples": lit_types.Integer(
              default=1000, min_val=0, max_val=10_000, required=False
          ),
      }
  
file_path: lit/lit_nlp/examples/datasets/lm.py
imports: import glob
  from typing import Optional
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  import tensorflow_datasets
label_desc: Use image node_id 2 for calling the PlaintextSents obj's underlying member method code with example usage: obj.init_spec(cls) and returns: dict