o i@s~ddlZddlmZddlmZmZmZmZddlZddl m Z ddl m Z dZ gdZded efd d ZGd d d e ZdS)N)Path)ListOptionalTupleUnion)Dataset)_load_waveformi>)AditiAmyBrianEmmaGeraintIvyJoannaJoeyJustinKendraKimberlyMatthewNicoleRaveenaRussellSallifilesubsetc Csi}t|dQ}|D]E}|d}|d}d|ddd\}}d|ddd}d|ddd}|dd} ||vrO||| f||<q Wd|S1s[wY|S)uLoad transcirpt, iob, and intent labels for all utterances. Args: file (Path): The path to the label file. subset (str): Subset of the dataset to use. Options: [``"train"``, ``"valid"``, ``"test"``]. Returns: Dictionary of labels, where the key is the filename of the audio, and the label is a Tuple of transcript, Inside–outside–beginning (IOB) label, and intention label. r rN )openstripsplitjoin) rrlabelsflineindextrans iob_intentiobintentr,O/home/ubuntu/vllm_env/lib/python3.10/site-packages/torchaudio/datasets/snips.py _load_labelss"    r.c @seZdZdZdZ  ddeeefdedee eded df d d Z d e d e ee eeeffd dZ d e d e eje eeeffddZd e fddZdS)Snipsa,*Snips* :cite:`coucke2018snips` dataset. Args: root (str or Path): Root directory where the dataset's top level directory is found. subset (str): Subset of the dataset to use. Options: [``"train"``, ``"valid"``, ``"test"``]. speakers (List[str] or None, optional): The speaker list to include in the dataset. If ``None``, include all speakers in the subset. (Default: ``None``) audio_format (str, optional): The extension of the audios. Options: [``"mp3"``, ``"wav"``]. (Default: ``"mp3"``) zall.iob.snips.txtNmp3rootrspeakers audio_formatreturnc Cs|dvrtd|dvrtdt|}|d|_|j||_|dur%t}tj|js0td|j d||_ g|_ t |j D]}t |j}|dd }||vrZ|j |qB|j|j}t|||_dS) N)trainvalidtestz3`subset` must be one of ["train", "valid", "test"].)r0wavz,`audio_format` must be one of ["mp3", "wav].SNIPSzDataset not found.z*.-r) ValueErrorr_path audio_path _SPEAKERSospathisdir RuntimeErrorglob audio_pathsdatasortedstrnamer"append _trans_filer.r$) selfr1rr2r3r= audio_namespeakertranscript_pathr,r,r-__init__Fs*     zSnips.__init__ncCsF|j|}tj||j}|dj}|j|\}}}|t||||fS)uGet metadata for the n-th sample from the dataset. Returns filepath instead of waveform, but otherwise returns the same fields as :py:func:`__getitem__`. Args: n (int): The index of the sample to be loaded. Returns: Tuple of the following items: str: Path to audio int: Sample rate str: File name str: Transcription of audio str: Inside–outside–beginning (IOB) label of transcription str: Intention label of the audio. ) rEr?r@relpathr< with_suffixrHr$ _SAMPLE_RATE)rKrPr=rR file_name transcriptr*r+r,r,r- get_metadataes  zSnips.get_metadatacCs2||}t|j|d|d}|f|ddS)u Load the n-th sample from the dataset. Args: n (int): The index of the sample to be loaded Returns: Tuple of the following items: Tensor: Waveform int: Sample rate str: File name str: Transcription of audio str: Inside–outside–beginning (IOB) label of transcription str: Intention label of the audio. rrN)rWrr<)rKrPmetadatawaveformr,r,r- __getitem__s zSnips.__getitem__cCs t|jS)N)lenrE)rKr,r,r-__len__s z Snips.__len__)Nr0)__name__ __module__ __qualname____doc__rJrrGrrrrOintrrWtorchTensorrZr\r,r,r,r-r/8s&    "r/)r?pathlibrtypingrrrrrbtorch.utils.datartorchaudio.datasets.utilsrrTr>rGr.r/r,r,r,r-s