code: def setUp(self):
      self.data = SparkContextForTest.spark.createDataFrame(
          [
              [
                  "Rare Hendrix song draft sells for almost $17,000. This is my second sentenece! The third one here!"
              ],
              ["EU rejects German call to boycott British lamb ."],
              ["TORONTO 1996-08-21"],
              [
                  " carbon emissions have come down without impinging on our growth . . ."
              ],
              [
                  "carbon emissions have come down without impinging on our growth .\\u2009.\\u2009."
              ],
              ["the "],
              ["  "],
              [" "],
          ]
      ).toDF("text")
  
file_path: spark-nlp/python/test/annotator/embeddings/word2_vec_test.py
imports: import unittest
  import pytest
  from sparknlp.annotator import *
  from sparknlp.base import *
  from test.util import SparkContextForTest
label_desc: Use image node_id 1 for calling the Word2VecTestSpec obj's underlying member method code with example usage: obj.setUp() without return types