:jddlZddlmZddlmZmZmZmZddlZddl m Z ddl m Z dZ gdZded efd ZGd d e Zy) N)Path)ListOptionalTupleUnion)Dataset)_load_waveformi>)AditiAmyBrianEmmaGeraintIvyJoannaJoeyJustinKendraKimberlyMatthewNicoleRaveenaRussellSallifilesubsetci}t|d5}|D]}|jjd}|d}dj|ddjd\}}dj|jddd}dj|jddd}|jdd} ||vs||| f||< ddd|S#1swY|SxYw)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_intentiobintents n/home/mcse/projects/srt_converter/srt-converter-venv/lib/python3.12/site-packages/torchaudio/datasets/snips.py _load_labelsr/sF dC 5A 5D::<%%c*DGE #ab 2 8 8 > E:HHU[[-a34E((:++C0267C%%c*2.F!&V 4u  5 5 M 5 MsB.C> CCc eZdZdZdZ ddeeefdedee ededdf d Z d e de ee eeeffd Z d e de eje eeeffd Zde fd Zy)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.txtNrootrspeakers audio_formatreturncx|dvr td|dvr tdt|}|dz |_|j|z |_|t}t j j|js td|jjd||_ g|_ t|jD]K}t|j}|jdd }||vs1|jj!|M|j|j"z }t%|||_y) N)trainvalidtestz3`subset` must be one of ["train", "valid", "test"].)mp3wavz,`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&) selfr2rr3r4r@ audio_namespeakertranscript_paths r.__init__zSnips.__init__Fs 3 3RS S ~ -KL LDzG^ **v-   Hww}}TZZ(34 4??//"\N0CD  !1!12 -JZ__-J &&s+A.G("   ,  - **t'7'77"?F; nc|j|}tjj||j}|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. ) rHrBrCrelpathr? with_suffixrKr& _SAMPLE_RATE)rNrTr@rW file_name transcriptr,r-s r. get_metadatazSnips.get_metadataesg.YYq\ ''//*djj9**2.33 "&++i"8 C iS&HHrScp|j|}t|j|d|d}|f|ddzS)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)r\r r?)rNrTmetadatawaveforms r. __getitem__zSnips.__getitem__sA,$$Q'!$**hqk8A;G{Xab\))rSc,t|jS)N)lenrH)rNs r.__len__z Snips.__len__s499~rS)Nr:)__name__ __module__ __qualname____doc__rMrrJrrrrRintrr\torchTensorr`rcrSr.r1r18s &K )-! <CI<<49% <  <  <>IcIeCc3,C&DI:*S*U5<<c3+K%L*4rSr1)rBpathlibrtypingrrrrritorch.utils.datartorchaudio.datasets.utilsr rYrArJr/r1rkrSr.rpsI // $4   (tS2eGerS