hSSKrSSKJr SSKJrJrJrJr SSKrSSK J r SSK J r Sr /SQrS\S \4S jr"S S \ 5rg) N)Path)ListOptionalTupleUnion)Dataset)_load_waveformi>)AditiAmyBrianEmmaGeraintIvyJoannaJoeyJustinKendraKimberlyMatthewNicoleRaveenaRussellSallifilesubsetc0n[US5nUHnUR5RS5nUSnSRUSS5RS5upgSRURS5SS5nSRURS5SS5nURS5Sn X;dMXhU 4X%'M SSS5 U$!,(df  U$=f)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 Q/var/www/auris/envauris/lib/python3.13/site-packages/torchaudio/datasets/snips.py _load_labelsr/sF dCAD::<%%c*DGE #ab 2 8 8 > EHHU[[-a34E((:++C0267C%%c*2.F!&V 4   M  MsB,C? C C"c \rSrSrSrSrSS\\\4S\S\ \ \S\S S4 S jjr S \ S \ \\ \\\44S jrS \ S \ \R \ \\\44S jrS \ 4SjrSrg)Snips8a *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_formatreturncUS;a [S5eUS;a [S5e[U5nUS- UlURU- UlUc[n[ R RUR5(d [S5eURRSU35Ul /Ul [UR5HNn[UR5nURS5S nXs;dM3URR!U5 MP URUR"- n[%X5Ulg) 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$append _trans_filer/r&) selfr3rr4r5rA audio_namespeakertranscript_paths r.__init__Snips.__init__Fs 3 3RS S ~ -KL LDzG^ **v-   Hww}}TZZ((34 4??//"\N0CD  !1!12JZ__-J &&s+A.G"   , 3 **t'7'77"?; ncURUn[RRX R5nUR S5R nURUupVnU[XEXg4$)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. ) rIrCrDrelpathr@ with_suffixrLr& _SAMPLE_RATE)rOrVrArY file_name transcriptr,r-s r. get_metadataSnips.get_metadataes_.YYq\ ''//*jj9**2.33 "&++i"8  iSHHrUcpURU5n[URUSUS5nU4USS-$)uLoad 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@)rOrVmetadatawaveforms r. __getitem__Snips.__getitem__sA,$$Q'!$**hqk8A;G{Xab\))rUc,[UR5$)N)lenrI)rOs r.__len__ Snips.__len__s499~rU)r@rArHrIr&)Nr;)__name__ __module__ __qualname____firstlineno____doc__rNrrKrrrrSintrr^torchTensorrcrg__static_attributes__rUr.r1r18s &K )-! <CI<<49% <  <  <>IcIeCc3,C&DI:*S*U5<<c3+K%L*4rUr1)rCpathlibrtypingrrrrrotorch.utils.datartorchaudio.datasets.utilsr r[rBrKr/r1rrrUr.rwsI // $4   (tS2eGerU