code: def test_sampling_airbnb():
      (
          train_sampled,
          train_pred_sampled,
      ) = airbnb.load_data_and_predictions(data_format="DataFrame")
      assert len(train_sampled) == len(train_pred_sampled) == 15_000
      (
          train_inflated,
          train_pred_inflated,
      ) = airbnb.load_data_and_predictions(
          data_format="DataFrame", data_size=100_000
      )
      assert len(train_inflated) == len(train_pred_inflated) == 100_000
      (
          test_sampled,
          test_pred_sampled,
      ) = airbnb.load_data_and_predictions(load_train=False)
      assert len(test_sampled) == len(test_pred_sampled) == 15_000
      (
          test_inflated,
          test_pred_inflated,
      ) = airbnb.load_data_and_predictions(
          load_train=False, data_size=100_000
      )
      assert len(test_inflated) == len(test_pred_inflated) == 100_000
  
file_path: deepchecks/tests/tabular/test_datasets.py
imports: import sys
  import numpy
  import sklearn
  from deepdiff import DeepDiff
  from hamcrest import assert_that, instance_of
  from sklearn.base import BaseEstimator
  from deepchecks.tabular.datasets.classification import adult, breast_cancer, iris, lending_club, phishing
  from deepchecks.tabular.datasets.regression import airbnb, avocado, wine_quality
label_desc: Use image node_id 11 for calling a global function with example usage: test_sampling_airbnb() without return types