code: def text_data():
      return {
          "test_list_main": [
              "This is an article talking about Spider-man.",
              "Spiders are one of the weirdest things on earth.",
          ],
          "answer_key_tokenized": [
              [
                  "This",
                  "is",
                  "an",
                  "article",
                  "talking",
                  "about",
                  "Spider-man",
                  ".",
              ],
              [
                  "Spiders",
                  "are",
                  "one",
                  "of",
                  "the",
                  "weirdest",
                  "things",
                  "on",
                  "earth",
                  ".",
              ],
          ],
          "answer_key_lower": [
              [
                  "this",
                  "is",
                  "an",
                  "article",
                  "talking",
                  "about",
                  "spider-man",
                  ".",
              ],
              [
                  "spiders",
                  "are",
                  "one",
                  "of",
                  "the",
                  "weirdest",
                  "things",
                  "on",
                  "earth",
                  ".",
              ],
          ],
          "answer_key_remove_punct": [
              [
                  "This",
                  "is",
                  "an",
                  "article",
                  "talking",
                  "about",
                  "Spider-man",
              ],
              [
                  "Spiders",
                  "are",
                  "one",
                  "of",
                  "the",
                  "weirdest",
                  "things",
                  "on",
                  "earth",
              ],
          ],
          "answer_key_replace_all_punct_with_pipe": [
              [
                  "This",
                  "is",
                  "an",
                  "article",
                  "talking",
                  "about",
                  "Spider|man",
              ],
              [
                  "Spiders",
                  "are",
                  "one",
                  "of",
                  "the",
                  "weirdest",
                  "things",
                  "on",
                  "earth",
              ],
          ],
          "answer_key_remove_all_punct": [
              [
                  "This",
                  "is",
                  "an",
                  "article",
                  "talking",
                  "about",
                  "Spiderman",
              ],
              [
                  "Spiders",
                  "are",
                  "one",
                  "of",
                  "the",
                  "weirdest",
                  "things",
                  "on",
                  "earth",
              ],
          ],
          "answer_key_remove_stop_words": [
              ["article", "talking", "spider-man", "."],
              ["spiders", "one", "weirdest", "things", "earth", "."],
          ],
          "answer_key_remove_stop_words_more": [
              ["article", "talking", "."],
              ["one", "weirdest", "things", "earth", "."],
          ],
          "test_list_digits": [
              [
                  "th3is",
                  "is",
                  "8",
                  "a",
                  "d1s4ster",
                  "but",
                  "no",
                  "numb3rs",
              ]
          ],
          "answer_key_remove_digits": [
              ["", "is", "", "a", "", "but", "no", ""]
          ],
          "test_list_single_char_and_spaces": [
              [
                  "a",
                  " ",
                  "nice",
                  "    ",
                  "day",
                  "to",
                  "b",
                  "outside",
                  "thank you",
              ]
          ],
          "answer_key_single_char_and_spaces": [
              ["nice", "day", "to", "outside", "thank", "you"]
          ],
          "test_list_stopwords": [
              [
                  "please",
                  "do",
                  "not",
                  "eat",
                  "the",
                  "rest",
                  "of",
                  "my",
                  "pineapple",
                  "pizza",
              ]
          ],
          "more_words": ["spiders", "spider-man"],
          "answer_key_remove_stopwords": [
              ["please", "eat", "rest", "pineapple", "pizza"]
          ],
          "answer_key_remove_stopwords_more": [
              ["please", "rest", "pineapple"]
          ],
          "test_list_lem_and_stem": [
              "Mars is the greatest planet to start terraforming; it would be amazing to see geese flying!"
          ],
          "answer_key_lem": [
              [
                  "mar",
                  "greatest",
                  "planet",
                  "start",
                  "terraforming",
                  "would",
                  "amazing",
                  "see",
                  "goose",
                  "flying",
              ]
          ],
          "answer_key_stem": [
              [
                  "mar",
                  "greatest",
                  "planet",
                  "start",
                  "terraform",
                  "would",
                  "amaz",
                  "see",
                  "gees",
                  "fly",
              ]
          ],
          "test_list_custom": ["this is an absolutely phenomenal day."],
          "answer_key_custom": [
              [
                  "THIS",
                  "IS",
                  "AN",
                  "ABSOLUTELY",
                  "PHENOMENAL",
                  "DAY",
                  ".",
              ]
          ],
      }
  
file_path: data-describe/tests/conftest.py
imports: import pytest
  import pandas
  import numpy
label_desc: Use image node_id 11 for calling a global function with example usage: text_data() and returns: dict