class_docstr: Generate some samples by templates which implement follow
      Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
      Language Inference ACL2019
  
     In order to generate some sample whose premise is the sequence of the
     hypothesis but the semantic are different.
  
  Exmaple::
  
     {
          sentence1: I hope Tom can go to school.
          sentence2: Tom go to school.
          y: 0
     }
class_docstr_tok: ["Generate","some","samples","by","templates","which","implement","follow","Right","for","the","Wrong","Reasons",":","Diagnosing","Syntactic","Heuristics","in","Natural","Language","Inference","ACL2019","In","order","to","generate","some","sample","whose","premise","is","the","sequence","of","the","hypothesis","but","the","semantic","are","different",".","Exmaple",":",":","{","sentence1",":","I","hope","Tom","can","go","to","school",".","sentence2",":","Tom","go","to","school",".","y",":","0","}"]
code: def __init__(self):
      super().__init__()
  
file_path: textflint/textflint/generation/transformation/SM/overlap.py
imports: from ..transformation import Transformation
  from ....common.utils.overlap_templates import *
  from ....input.component.sample import SMSample
label_desc: Use image node_id 1 to create a new Overlap object from inherited base classes: Transformation with example: obj = Overlap()