Sign inGet started
Dataset · Hugging Face

ysdede/khanacademy-turkish

Khan Academy Turkish Audio Dataset This dataset contains 78 hours of audio extracted from the Khan Academy Turkish YouTube channel. The data has been segmented into short clips, each with an average duration of 10.5 seconds. Accompanying this dataset, you will find a detailed video file tree that provides an overview of the source material. Dataset Creation Process:The audio was extracted from the Khan Academy Turkish YouTube channel and then processed using several techniques… See the full description on the dataset page: https://huggingface.co/datasets/ysdede/khanacademy-turkish.

Author / organizationysdede
License (as declared)cc-by-sa-3.0
Downloads286 (as reported by Hugging Face)
Likes37
Created12 December 2024
Last updated at source11 February 2025
chemistrybiologyartstem
Embed this entry
<iframe src="https://silytics.si/embed/item/b4e2e2b1-ca00-4c35-9f44-3460969c9515" 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

286 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Recent changes

  • 17 Oct 2026 Description: Khan Academy Turkish Audio Dataset This dataset contains 78 hours of audio extracted from the Khan Academy Turkish YouTube channel. The data has been segmented into short clips, each with an average duration of 10.5 seconds. Accompanying th → Khan Academy Turkish Audio Dataset This dataset contains 78 hours of audio extracted from the Khan Academy Turkish YouTube channel. The data has been segmented into short clips, each with an average duration of 10.5 seconds. Accompanying th

Changes detected by Silytics between refreshes of the source.

More from ysdede

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 Information may be incomplete or out of date.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.