~VjiddlZddlmZddlmZmZmZmZddlZddl m Z ddl m Z dZ gdZded efd ZGd d e ZdS) N)Path)ListOptionalTupleUnion)Dataset)_load_waveformi>)AditiAmyBrianEmmaGeraintIvyJoannaJoeyJustinKendraKimberlyMatthewNicoleRaveenaRussellSallifilesubsetc8i}t|d5}|D]}|d}|d}d|ddd\}}d|ddd}d|ddd}|dd} ||vr||| f||< dddn #1swxYwY|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_intentiobintents S/root/voice-cloning/.venv/lib/python3.11/site-packages/torchaudio/datasets/snips.py _load_labelsr/sTF dC 5A 5 5D::<<%%c**DGE #abb 2 2 8 8 > > E:HHU[[--ad344E((:++C002677C%%c**2.F!&V 4u  5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 MsC/DDDc eZdZdZdZ ddeeefdedee eded df d Z d e d e ee eeeffd Z d e d e eje eeeffd Zd e fdZdS)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||dvrtd|dvrtdt|}|dz |_|j|z |_|t}t j|jstd|j d||_ g|_ t|j D]O}t|j}|dd }||vr|j |P|j|jz }t%|||_dS) N)trainvalidtestz3`subset` must be one of ["train", "valid", "test"].)r2wavz,`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&) selfr3rr4r5r@ audio_namespeakertranscript_paths r.__init__zSnips.__init__Fs> 3 3 3RSS S ~ - -KLL LDzzG^ *v-   Hw}}TZ(( 5344 4?//0C\0C0CDD  !122 - -JZ_--J &&s++A.G(""   ,,,*t'77"?F;; nc|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. ) rHrBrCrelpathr? with_suffixrKr& _SAMPLE_RATE)rNrTr@rW file_name transcriptr,r-s r. get_metadatazSnips.get_metadataesb.Yq\ '//*dj99**2..3 "&+i"8 C iS&HHrSc||}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__sG,$$Q''!$*hqk8A;GG{Xabb\))rSc*t|jS)N)lenrH)rNs r.__len__z Snips.__len__s49~~rS)Nr2)__name__ __module__ __qualname____doc__rMrrJrrrrRintrr\torchTensorr`rcrSr.r1r18s  &K )-! <<CI<<49% <  <  <<<<>IcIeCc3,C&DIIII:*S*U5<c3+K%L****4rSr1)rBpathlibrtypingrrrrritorch.utils.datartorchaudio.datasets.utilsr rYrArJr/r1rkrSr.rps //////////// $$$$$$444444     (tS2eeeeeGeeeeerS