class_docstr: This class is used for evaluating similarity metrics in word similarity datasets
class_docstr_tok: ["This","class","is","used","for","evaluating","similarity","metrics","in","word","similarity","datasets"]
code: def dataset_names(self):
      return [
          "noun_mc",
          "noun_rg",
          "noun_simlex",
          "noun_ws353",
          "noun_ws353-sim",
          "rg65_spanish",
          "rg65_EN-ES",
      ]
  
imports: from __future__ import division, print_function
  import six
  from scipy.stats import spearmanr
  from scipy.stats import pearsonr
  from sematch.semantic.similarity import YagoTypeSimilarity
  from sematch.utility import FileIO
  import numpy
  from scipy.stats import t, norm
  from math import atanh, pow
  from numpy import tanh
  from sklearn.metrics import classification_report
  from sklearn.metrics import precision_recall_fscore_support
  from sklearn.metrics import accuracy_score
  from nltk import ConfusionMatrix
label_desc: Use image node_id 2 for calling the WordSimEvaluation obj's underlying member method code with example usage: obj.dataset_names() and returns: list