def __getitem__(
        self, n: int
    ) -> Tuple[Tensor, int, str, str, Optional[str], str, str]:
        """Load the n-th sample from the dataset.

        Args:
            n (int): The index of the sample to be loaded

        Returns:
            tuple: ``(waveform, sample_rate, sentence, translation, speaker_id,
            sample_id)``
        """
        data = self.data[n]
        path = self.root / "clips" / data["path"]
        waveform, sample_rate = torchaudio.load(path)
        sentence = data["sentence"]
        translation = None if self.no_translation else data["translation"]
        speaker_id = data["client_id"]
        _id = data["path"].replace(".mp3", "")
        return waveform, sample_rate, sentence, translation, speaker_id, _id
Load the n-th sample from the dataset.

        Args:
            n (int): The index of the sample to be loaded

        Returns:
            tuple: ``(waveform, sample_rate, sentence, translation, speaker_id,
            sample_id)``
        
understand_icl/fairseq/examples/speech_to_text/prep_covost_data.py