def METHOD_NAME(data, metric):
    data_all = {}
    data_all = {k: np.array(v) for k, v in data.items()}
    if isinstance(metric, VOCMetric):
        for k, v in data_all.items():
            if not isinstance(v[0], np.ndarray):
                tmp_list = []
                for t in v:
                    tmp_list.append(np.array(t))
                data_all[k] = np.array(tmp_list)
    else:
        data_all = {k: np.array(v) for k, v in data.items()}
    return data_all