code: def test_get_default_benchmark_real_datasets():
      real_datasets = get_default_benchmark_real_datasets()
  
      assert real_datasets[0] == (
          "daily_peyton_manning",
          "D",
          "ts",
          "y",
          [30, 365],
      )
      assert real_datasets[1] == (
          "daily_female_births",
          "D",
          "Date",
          "Births",
          [30, 3 * 30],
      )
  
file_path: greykite/greykite/tests/framework/benchmark/test_benchmark_template.py
imports: import os
  from greykite.common.data_loader import DataLoader
  from greykite.common.evaluation import EvaluationMetricEnum
  from greykite.common.testing_utils import generate_df_for_tests
  from greykite.framework.benchmark.benchmark_template import benchmark_silverkite_template
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_parameters
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_real_datasets
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_silverkite_parameters
  from greykite.framework.benchmark.benchmark_template import get_default_benchmark_simulated_datasets
  from greykite.framework.templates.autogen.forecast_config import EvaluationMetricParam
  from greykite.framework.templates.autogen.forecast_config import MetadataParam
label_desc: Use image node_id 4 for calling a global function with example usage: test_get_default_benchmark_real_datasets() without return types