def sents(self, fileids=None):
        """
        :return: the given file(s) as a list of
            sentences or utterances, each encoded as a list of word
            strings.
        :rtype: list(list(str))
        """
        if self._sent_tokenizer is None:
            raise ValueError('No sentence tokenizer for this corpus')

        return concat([self.CorpusView(path, self._read_sent_block, encoding=enc)
                       for (path, enc, fileid)
                       in self.abspaths(fileids, True, True)])
dataset/ETHPy150Open nltk/nltk/nltk/corpus/reader/plaintext.py/PlaintextCorpusReader.sents/original