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archivartaunik/eva-vezhnavets-pa-shto-idzesh-voucha-zui-vaitsiakhouskaia

Па што ідзеш, воўча Metadata Author: Ева Вежнавец Title: Па што ідзеш, воўча Narrator: Зуй-Вайцяхоўская Source Group: Аўдыёкнігі Source: Notes The original audio files are preserved as-is: no conversion; no re-encoding; no filename changes inside each split folder, except removing one common top-level archive folder when present. To avoid Hugging Face Dataset Viewer scan-size errors, the dataset is split into smaller folders. Target maximum… See the full description on the dataset page: https://huggingface.co/datasets/archivartaunik/eva-vezhnavets-pa-shto-idzesh-voucha-zui-vaitsiakhouskaia.

sourceHugging Faceotherupdated 4mo agoView on Hugging Face
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Па што ідзеш, воўча

Metadata

  • —Author: Ева Вежнавец
  • —Title: Па што ідзеш, воўча
  • —Narrator: Зуй-Вайцяхоўская
  • —Source Group: Аўдыёкнігі
  • —Source:

Notes

The original audio files are preserved as-is:

  • —no conversion;
  • —no re-encoding;
  • —no filename changes inside each split folder, except removing one common top-level archive folder when present.

To avoid Hugging Face Dataset Viewer scan-size errors, the dataset is split into smaller folders. Target maximum split size: about 250 MB.

Each split folder contains its own metadata.csv, and its file_name column points exactly to the audio files in the same split folder.

Splits

  • —train

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python
from datasets import load_dataset

ds = load_dataset("archivartaunik/eva-vezhnavets-pa-shto-idzesh-voucha-zui-vaitsiakhouskaia")