code: def data_loader_simple() -> pd.DataFrame:
      """Return simple data for use in testing."""
      return pd.DataFrame([2, 2, 3])
  
file_path: sktime/sktime/benchmarking/tests/test_forecasting.py
imports: import pandas
  import pytest
  from sktime.benchmarking.benchmarks import coerce_estimator_and_id
  from sktime.benchmarking.forecasting import ForecastingBenchmark
  from sktime.forecasting.naive import NaiveForecaster
  from sktime.forecasting.trend import TrendForecaster
  from sktime.performance_metrics.forecasting import MeanAbsoluteError, MeanAbsolutePercentageError, MeanSquaredPercentageError
  from sktime.split import ExpandingWindowSplitter
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 1 for calling a global function with example usage: data_loader_simple() and returns: pd