Datasets:
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---
task_categories:
- automatic-speech-recognition
pretty_name: MangoSpeech
configs:
- config_name: opodcast
data_files: "data/opodcast.parquet"
- config_name: rozdympodcast
data_files: "data/rozdympodcast.parquet"
- config_name: test
data_files: "data/test.parquet"
---
# 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>
})
})
``` |