code: def string_date_df() -> "pd.DataFrame":
      df = pd.DataFrame.from_dict(
          {
              "date_feature": [
                  str(datetime.datetime.now()) for i in range(100)
              ],
              "binary_feature": [i % 2 for i in range(100)],
          }
      )
      return df
  
file_path: ludwig/tests/integration_tests/test_date_feature.py
imports: import datetime
  import time
  import pandas
  import pytest
  from dateutil.parser import parse
  from ludwig.api import LudwigModel
  from ludwig.constants import BACKEND, BINARY, DATE, EPOCHS, FILL_WITH_CONST, INPUT_FEATURES, MISSING_VALUE_STRATEGY, NAME, OUTPUT_FEATURES, PREPROCESSING, RAY, TRAINER, TYPE
  from ludwig.utils.date_utils import create_vector_from_datetime_obj
label_desc: Use image node_id 1 for calling a global function with example usage: string_date_df() and returns: df