class_docstr: Function and Docstring similarity Problem.
  
  This problem contains the data consisting of function
  and docstring pairs as CSV files. The files are structured
  such that they contain two columns without headers containing
  the docstring tokens and function tokens. The delimiter is
  ",".
class_docstr_tok: ["Function","and","Docstring","similarity","Problem",".","This","problem","contains","the","data","consisting","of","function","and","docstring","pairs","as","CSV","files",".","The","files","are","structured","such","that","they","contain","two","columns","without","headers","containing","the","docstring","tokens","and","function","tokens",".","The","delimiter","is","''",",","''","."]
code: def is_generate_per_split(self):
      return False
  
file_path: tensor2tensor/tensor2tensor/data_generators/function_docstring.py
imports: import csv
  from six import StringIO
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import metrics
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 3 for calling the GithubFunctionDocstring obj's underlying member method code with example usage: obj.is_generate_per_split() and returns: False