audio
sequence
rate
int64
22.1k
22.1k
duration
float64
1.38
16.4
sentence
stringlengths
6
129
[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED)
22,050
4.74
"37 років хай приходить жінка і вонавиявляє що вона вже (...TRUNCATED)
[-0.06094610318541527,-0.051557570695877075,-0.043345123529434204,-0.05193137750029564,-0.0495432689(...TRUNCATED)
22,050
4.74
"тому що в неї немає яйцеклітин ти впацієнтів все окей (...TRUNCATED)
[-0.0451766774058342,-0.03477993607521057,-0.02938346564769745,-0.019101347774267197,-0.011717870831(...TRUNCATED)
22,050
4.319
"А взагалі не знають чому не настаєвагітність зараз ре(...TRUNCATED)
[-0.17454734444618225,-0.1708594113588333,-0.1542692929506302,-0.11072929203510284,-0.02723176777362(...TRUNCATED)
22,050
5.341
"перебування в заморозці це 30 років а їїоцю луїзу Браун(...TRUNCATED)
[0.15840253233909607,0.2280218005180359,0.25120630860328674,0.2479621022939682,0.2616528570652008,0.(...TRUNCATED)
22,050
4.86
"підсаджували відразу підсадка дав маткуБуквально за (...TRUNCATED)
[-0.06705150753259659,0.1379413604736328,-0.1844869703054428,0.08561499416828156,0.02457905001938343(...TRUNCATED)
22,050
5.64
"яйцеклітин ти відчуваєш Ти носиш собоюякі казала лотк(...TRUNCATED)
[0.24232164025306702,0.29352957010269165,0.3516414165496826,0.3258150815963745,0.30417701601982117,0(...TRUNCATED)
22,050
5.52
"думаєте ви вже одружена я кажу так там 5років Що ви соб(...TRUNCATED)
[-0.10654539614915848,-0.10803061723709106,-0.10343648493289948,-0.10386427491903305,-0.117192111909(...TRUNCATED)
22,050
4.98
"тікають і ніколи не знаєш яка в тебеякість яйцеклітин (...TRUNCATED)
[-0.31270933151245117,-0.38289278745651245,-0.4309062957763672,-0.47151708602905273,-0.5060227513313(...TRUNCATED)
22,050
5.72
"спробуєш завагітніти я сама виконувалаза своє заплід(...TRUNCATED)
[0.03581763431429863,0.024116285145282745,0.00942650530487299,0.002065044827759266,0.009190430864691(...TRUNCATED)
22,050
7.12
"Тікай чекай чекай тобто в тебе забралиоці всі яйцеклі(...TRUNCATED)

The list of all subsets in the dataset

Each subset is generated splitting videos from given particular ukrainiam YouTube channel All subsets are in test split

  • "opodcast" subset is from channel "О! ПОДКАСТ"
  • "rozdympodcast" subset is from channel "Роздум | Подкаст"
  • "test" subset is just a small subset of samples

Loading a particular subset

>>> data_files = {"train": "data/<your_subset>.parquet"}
>>> data = load_dataset("Zarakun/youtube_ua_subtitles_test", data_files=data_files)
>>> data
DatasetDict({
    train: Dataset({
        features: ['audio', 'rate', 'duration', 'sentence'],
        num_rows: <some_number>
    })
})
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