code: def user_item_dataset():
      """Get users and items dataframe"""
      user_df = pd.DataFrame(
          {"user_id": [1, 2, 3, 4, 5], "user_age": [23, 24, 25, 26, 27]}
      )
  
      item_df = pd.DataFrame(
          {
              "item_id": [6, 7, 8],
              "item_feat": [[0.1, 0.1], [0.2, 0.2], [0.3, 0.3]],
          }
      )
  
      return user_df, item_df
  
file_path: recommenders/tests/unit/recommenders/datasets/test_pandas_df_utils.py
imports: import os
  import numpy
  import pandas
  import pytest
  from tempfile import TemporaryDirectory
  from recommenders.datasets.pandas_df_utils import filter_by, LibffmConverter, has_same_base_dtype, has_columns, lru_cache_df, negative_feedback_sampler
label_desc: Use image node_id 1 for calling a global function with example usage: user_item_dataset() and returns: user_df,  item_df