def METHOD_NAME(self, split, epoch=1, combine=False, **kwargs):
    """Load a given dataset split.
    Args:
        split (str): name of the split (e.g., train, valid, test)
    """
    dataset_map = OrderedDict()
    for lang in self.langs2id.keys():
        # Datasets are expected to be in "split.lang" format (Eg: train.en)
        language_split = "{}.{}".format(split, lang)
        block_dataset, sizes = self._load_single_lang_dataset(
            split=language_split, epoch=epoch
        )
        dataset_map[lang] = MaskedLMDataset(
            dataset=block_dataset,
            sizes=sizes,
            vocab=self.dictionary,
            pad_idx=self.dictionary.pad(),
            mask_idx=self.dictionary.mask(),
            classif_token_idx=self.dictionary.eos(),
            sep_token_idx=self.dictionary.eos(),
            shuffle=getattr(self.args, "shuffle", False),
            has_pairs=False,
            segment_id=self.langs2id[lang],
            seed=self.seed,
        )
    self.datasets[split] = MultiCorpusSampledDataset(dataset_map)
    logger.info(
        "{} {} {} examples".format(
            utils.split_paths(self.args.data)[epoch - 1],
            split,
            len(self.datasets[split]),
        )
    )