Hugging Face's logo

Datasets:
Zarakun
/
youtube_ua_subtitles_test

Tasks:
Automatic Speech Recognition
Modalities:
Tabular
Text
Time-series
Formats:
parquet
Size:
1K - 10K
Libraries:
Datasets
pandas
Dataset card Data Studio Files Community
1
Dataset Viewer
Auto-converted to Parquet
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)
End of preview. Expand in Data Studio

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>
    })
})
Downloads last month
226
Size of the auto-converted Parquet files:
5.99 GB
Number of rows:
9,722