hgSSKrSSKrSSKJr SSKJrJrJr SSKrSSK J r SSK J r SSK JrJr SrSrS r/S Qr"S S \ 5rS \S\S\4Sjrg)N)Path)OptionalTupleUnion)Dataset)download_url_to_file) _extract_tar_load_waveformz6https://speech.fit.vutbr.cz/files/quesst14Database.tgzi@@4f869e06bc066bbe9c5dde31dbd3909a0870d70291110ebbb38878dcbc2fc5e4)albanianbasqueczech nnenglishromanianslovakc \rSrSrSrSS\\\4S\S\\S\ SS4 S jjr S \ S\ \\ \44S jr S \ S\ \R\ \44S jrS\ 4S jrSrg)QUESST14ak*QUESST14* :cite:`Mir2015QUESST2014EQ` 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: [``"docs"``, ``"dev"``, ``"eval"``]. language (str or None, optional): Language to get dataset for. Options: [``None``, ``albanian``, ``basque``, ``czech``, ``nnenglish``, ``romanian``, ``slovak``]. If ``None``, dataset consists of all languages. (default: ``"nnenglish"``) download (bool, optional): Whether to download the dataset if it is not found at root path. (default: ``False``) rootsubsetlanguagedownloadreturnNcnUS;a [S5eUb%U[;a[S[[535e[R"U5n[R R [5n[R RX5nURSS5Sn[R RX5Ul [R RUR5(dT[R RU5(d%U(d [S5e[[U[S9 [!Xa5 US :Xa[#URUS 5UlgUS :Xa[#URUS 5UlgUS :Xa[#URUS5Ulgg)N)docsdevevalz/`subset` must be one of ['docs', 'dev', 'eval']z"`language` must be None or one of .rz9Dataset not found. Please use `download=True` to download) hash_prefixrzlanguage_key_utterances.lstrzlanguage_key_dev.lstrzlanguage_key_eval.lst) ValueError _LANGUAGESstrosfspathpathbasenameURLjoinrsplit_pathisdirisfile RuntimeErrorr _CHECKSUMr filter_audio_pathsdata)selfrrrrr'archives T/var/www/auris/envauris/lib/python3.13/site-packages/torchaudio/datasets/quesst14.py__init__QUESST14.__init__&sD 0 0NO O  HJ$>A#j/ARST Tyy77##C('',,t.??3*1-WW\\$1 ww}}TZZ((77>>'**&'bcc$S'yI  ' V *4::xA^_DI u_*4::xAWXDI v *4::xAXYDIncURUn[RRX R5nU[ UR S5R4$)aWGet 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 )r1r$r&relpathr+ SAMPLE_RATE with_suffixname)r2r8 audio_pathr;s r4 get_metadataQUESST14.get_metadataJsE"YYq\ ''//*jj9 Z%;%;B%?%D%DDDr7cpURU5n[URUSUS5nU4USS-$)zLoad 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 rN)r@r r+)r2r8metadatawaveforms r4 __getitem__QUESST14.__getitem___sA $$Q'!$**hqk8A;G{Xab\))r7c,[UR5$)N)lenr1)r2s r4__len__QUESST14.__len__ss499~r7)r+r1)rF)__name__ __module__ __qualname____firstlineno____doc__rr#rrboolr5intrr@torchTensorrFrJ__static_attributes__r7r4rrs  #. "ZCI"Z"Z3- "Z  "Z  "ZHEcEeCcM&:E**S*U5<<c+A%B*(r7rr&rlst_namec4/n[U5n[US- U- 5nUHXnUR5R5upgUbXq:waM-[R "SSU5nUR X- 5 MZ SSS5 U$!,(df  U$=f)z+Extract audio paths for the given language.scoringNz^.*?\/r:)ropenstripsplitresubappend)r&rrW audio_pathsfliner?langs r4r0r0ws K :D dY) *aD#zz|113 J#(8 2z:J   t0 1  +  + * s AB B)r$r]pathlibrtypingrrrrStorch.utils.datartorchaudio._internalrtorchaudio.datasets.utilsr r r(r<r/r"rr#r0rVr7r4risf )) $5B? N  [w[| r7