o Si6@sddZddlZddlZddlmZddlmZddlmZddl m Z m Z m Z m Z mZmZmZddlmZddlmZdd lmZmZmZdd lmZmZdd lmZmZdd lm Z m!Z!m"Z"m#Z#d Z$dZ%GdddZ&   d!de dee'ee'fde(defddZ)  d"de de de e dee'ee'fdee'ee'fde e'e e'eeeffff dd Z*dS)#a About GigaST corpus: GigaST: A large-scale speech translation corpus https://arxiv.org/abs/2204.03939 GigaST is a large-scale speech translation corpus, by translating the transcriptions in GigaSpeech, a multi-domain English speech recognition corpus with 10,000 hours of labeled audio. The training data is translated by a strong machine translation system and the test data is produced by professional human translators. Note: This recipe assume you have downloaded and prepared GigaSpeech by lhotse. We assure manifests_dir contains the following files: - gigaspeech_recordings_TEST.jsonl.gz - gigaspeech_recordings_XL.jsonl.gz - gigaspeech_supervisions_TEST.jsonl.gz - gigaspeech_supervisions_XL.jsonl.gz N) defaultdict)ProcessPoolExecutor)Path)AnyDictListOptionalSequenceTupleUnion)tqdm)CutSet) AudioSource Recording RecordingSet)manifests_existread_manifests_if_cached)SupervisionSegmentSupervisionSet)PathlikeSecondsis_module_availableresumable_download)XLLMSXSDEVTEST)dezhc@s&eZdZdedefddZddZdS)GigaST corpus_dirlangcCs`t|d|d}tt|d|_Wdn1swYtt|jd|_dS)NGigaST..jsonaudiossegments)openiterjsonloadaudio_generatornextsegment_generator)selfr#r$fr2I/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/recipes/gigast.py__init__$szGigaST.__init__cCs>zt|jWStytt|jd|_t|jYSw)Nr()r.r/ StopIterationr*r-)r0r2r2r3 get_next_line)s   zGigaST.get_next_lineN)__name__ __module__ __qualname__rstrr4r6r2r2r2r3r"#s r".allF target_dir languagesforce_downloadreturncCst|}|jddd|dkrt}n t|tr|g}nt|}t|ddD];}td||d|d}| rHtd |d |d q%d |d }||}t d|||d| q%|S)a~ Download GigaST dataset :param target_dir: Pathlike, the path of the dir to store the dataset. :param languages: one of: 'all' (downloads all known languages); a single language code (e.g., 'en'), or a list of language codes. :param force_download: bool, if True, download the archive even if it already exists. :return: the path to downloaded with data. Tparentsexist_okr<zDownloading GigaSTdesczDownload language: r; _completedz Skipping z because z exists.r%r&zJhttps://lf3-nlp-opensource.bytetos.com/obj/nlp-opensource/datasets/GigaST/)filenamer?) rmkdir GIGAST_LANGS isinstancer:listr logginginfois_filertouch)r=r>r?r$completed_detector json_name json_pathr2r2r3download_gigast1s,   rSautor# manifests_dir output_dir dataset_partsc CsJt|}t|}|sJd|td|dkrtn|}t|tr(|g}|dkr.dn|}t|tr8|g}|durGt|}|jdddtdd }d }t||||d }|dus^Jt |t |ksvJt |t |t | |ft |d d D]}|tvsJ|tftd|dt ||} |D]\} } g} td| t| |dd drtd|d| dq| } t | ddd D]9}| d|jkr|}| dkr| d| dd|_nd| di|_| |z| } WqtyYnwqtd|d| t| }||d|d| d qq|dS)!a Returns the manifests which consist of the Recordings and Supervisions :param corpus_dir: Path to the GigaST dataset :param manifests_dir: Path to the GigaSpeech manifests :param output_dir: Pathlike, the path where to write the manifests. :param languages: 'auto' (prepare all languages) or a list of language codes. :return: a Dict whose key is the dataset part, and the value is Dicts with the keys 'recordings' and 'supervisions'. zNo such directory: zPreparing GigaST...rT)rrNTrAzLoading manifest gigaspeechzjsonl.gz)rWrVprefixsuffixzProcessing GigaSTrDzLoading GigaST.r&z Processing z gigast-de)partrVrYrZzGigaST z subset: z already prepared - skipping. supervisionsz"Generate the extented supervisionssidrtext_rawextra)r^r_zSaving GigaST zgigast-_supervisions_z .jsonl.gz)ris_dirrLrMrIrJr:rHrlenrKkeysr r"itemsrr6idcustomappendr5r from_segmentsto_file)r#rUrVr>rWrYrZ manifestsr$gigast partitionmr\cur_linesupnew_supsupervisionsetr2r2r3prepare_gigast\s            rr)r;r<F)rTrT)+__doc__r+rL collectionsrconcurrent.futuresrpathlibrtypingrrrrr r r tqdm.autor lhotser lhotse.audiorrrlhotse.recipes.utilsrrlhotse.supervisionrr lhotse.utilsrrrrGIGASPEECH_PARTSrIr"r:boolrSrrr2r2r2r3sV   $   /