class_docstr: Text spans scoring class.
  Contains misc scoring algorithms for scoring text fragments extracted
  from a corpus.
  
  Arguments:
      documents(list): List of spaCy documents.
      spans(list[list]): List of spaCy spans representing noun phrases of documents
          document.
class_docstr_tok: ["Text","spans","scoring","class",".","Contains","misc","scoring","algorithms","for","scoring","text","fragments","extracted","from","a","corpus",".","Arguments",":","documents","(","list",")",":","List","of","spaCy","documents",".","spans","(","list","[","list","]",")",":","List","of","spaCy","spans","representing","noun","phrases","of","documents","document","."]
code: def documents(self):
      return self._documents
  
imports: import itertools
  import math
  import numpy
  import logging
  from spacy.tokens.doc import Doc
  from spacy.tokens.span import Span
  from spacy.tokens.token import Token
label_desc: Use image node_id 3 for calling the TextSpanScoring obj's underlying member method code with example usage: obj.documents() and returns: self