def METHOD_NAME():
    # Arrange
    train, test = just_dance_comment_analysis.load_data(data_format='Dataframe', as_train_test=True)
    full = just_dance_comment_analysis.load_data(data_format='Dataframe', as_train_test=False)
    full_ds = just_dance_comment_analysis.load_data(data_format='TextData', as_train_test=False,
                                                    include_embeddings=True)
    preds = just_dance_comment_analysis.load_precalculated_predictions(pred_format='predictions', as_train_test=False)
    probas = just_dance_comment_analysis.load_precalculated_predictions(pred_format='probabilities',
                                                                        as_train_test=False)
    properties = just_dance_comment_analysis.load_properties(as_train_test=False)
    train_props, test_props = just_dance_comment_analysis.load_properties(as_train_test=True)
    embeddings = just_dance_comment_analysis.load_embeddings(as_train_test=False)
    train_embeddings, test_embeddings = just_dance_comment_analysis.load_embeddings(as_train_test=True)
    # Act & Assert
    assert_that(len(train) + len(test), equal_to(len(full)))
    assert_that(train.columns, contains_exactly(*test.columns))
    assert_that(train.columns, contains_exactly(*full.columns))
    assert_that(len(full_ds.text), equal_to(len(full)))
    assert_that(len(full_ds.text), equal_to(len(preds)))
    assert_that(len(full_ds.text), equal_to(len(probas)))
    assert_that(len(properties), equal_to(len(full)))
    assert_that(len(train_props) + len(test_props), equal_to(len(full)))
    assert_that(len(train_props), equal_to(len(train)))
    assert_that(len(embeddings), equal_to(len(full)))
    assert_that(len(train_embeddings) + len(test_embeddings), equal_to(len(full)))
    assert_that(len(train_embeddings), equal_to(len(train)))
    assert_that(embeddings.shape, contains_exactly(16281, 1536))
    assert_that(train_embeddings.shape, contains_exactly(7669, 1536))
    assert_that(test_embeddings.shape, contains_exactly(8612, 1536))