def METHOD_NAME(basedir):
    images_dir = os.path.join(basedir, "merge_samples_image")
    label = "person"
    dataset = foz.load_zoo_dataset("quickstart").clone()
    dataset1 = dataset.clone()
    dataset2 = dataset.clone()
    dataset3 = dataset.clone()
    # Give `dataset2` new field names
    dataset2.rename_sample_field("ground_truth", "gt")
    # Give `dataset3` new image locations
    inpaths = dataset3.values("filepath")
    outpaths = [os.path.join(images_dir, os.path.basename(f)) for f in inpaths]
    for inpath, outpath in zip(inpaths, outpaths):
        etau.copy_file(inpath, outpath)
    dataset3.set_values("filepath", outpaths)
    # Only merge `person` labels
    view2 = dataset2.filter_labels("gt", F("label") == label)
    view3 = dataset3.filter_labels("ground_truth", F("label") == label)
    # Perform the merges
    dataset.merge_samples(view2)
    dataset.merge_samples(view3)
    # Check that schema is correct
    schema = dataset.get_field_schema()
    assert "ground_truth" in schema
    assert "gt" in schema
    #
    # `dataset` should contain:
    #   `view2` counts in its `gt` field
    #   `dataset1` + `view3` counts in its `ground_truth` field
    #
    dataset_counts = dataset.count_values("ground_truth.detections.label")
    dataset1_counts = dataset1.count_values("ground_truth.detections.label")
    view3_counts = view3.count_values("ground_truth.detections.label")
    assert dataset_counts[label] == (
        dataset1_counts[label] + view3_counts[label]
    )
    dataset_counts = dataset.count_values("gt.detections.label")
    view2_counts = view2.count_values("gt.detections.label")
    assert dataset_counts[label] == view2_counts[label]