Sign inGet started
Dataset · Hugging Face

islomov/podcasts_tashkent_dialect_youtube_uzbek_speech_dataset

Tashkent dialect focused podcasts youtube uzbek speech Dataset Description This dataset contains audio clips and their corresponding transcriptions in the Uzbek language with mostly tashkent dialects. The data was collected from publicly available podcast videos on YouTube. It is designed for training and evaluating Automatic Speech Recognition (ASR) models. Most of the content comes from the Jahongir Latipov interviews and Bu podcast (respect authors) YouTube… See the full description on the dataset page: https://huggingface.co/datasets/islomov/podcasts_tashkent_dialect_youtube_uzbek_speech_d

Author / organizationislomov
License (as declared)apache-2.0
Downloads367 (as reported by Hugging Face)
Likes7
Created16 June 2025
Last updated at source16 June 2025
podcaststashkent
Embed this entry
<iframe src="https://silytics.si/embed/item/e0621ac3-6293-4d6d-ae4a-7ee04a8a56fb" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

367 now. Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Recent changes

  • 16 Oct 2026 Description: Tashkent dialect focused podcasts youtube uzbek speech Dataset Description This dataset contains audio clips and their corresponding transcriptions in the Uzbek language with mostly tashkent dialects. The data was collected from publicly av → Tashkent dialect focused podcasts youtube uzbek speech Dataset Description This dataset contains audio clips and their corresponding transcriptions in the Uzbek language with mostly tashkent dialects. The data was collected from publicly av

Changes detected by Silytics between refreshes of the source.

More from islomov

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.