class_docstr:  Generate some samples by templates
  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:
  {
       hypothesis: I hope Tom can go to school.
       premise: Tom goes to school.
       y: contradicion
  }
   
class_docstr_tok: ["Generate","some","samples","by","templates","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",":","{","hypothesis",":","I","hope","Tom","can","go","to","school",".","premise",":","Tom","goes","to","school",".","y",":","contradicion","}"]
code: def __repr__(self):
      return "Overlap"
  
file_path: textflint/textflint/generation/transformation/NLI/overlap.py
imports: from ..transformation import Transformation
  from ....common.utils.overlap_templates import *
  from ....input.component.sample import NLISample
label_desc: Use image node_id 2 for calling the Overlap obj's underlying member method code with example usage: obj.__repr__() and returns: str