lab260/Balalaika-longform

Balalaika-longform Russian speech for long-form text-to-speech: 189.13 hours of audio in 6,380 segments, each 30 seconds to 15 minutes long. Balalaika-longform is a corpus for training and evaluating text-to-speech (TTS) systems on sustained speech. It retains long, continuous segments with their transcripts so that models can learn beyond the short utterances common in TTS training. The recordings include audiobook readings, lectures, talks, and other spoken material from… See the full description on the dataset page: https://huggingface.co/datasets/lab260/Balalaika-longform.

<iframe src="https://silytics.si/embed/item/3f0a4973-c7d0-4d8c-838a-e39af7d8c0a8" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.