serdarcaglar/kiraat

serdarcaglar/kiraat is a Turkish read-speech dataset hosted on Hugging Face. It is a sentence-aligned corpus built from publicly available recordings on Turkish audiobook YouTube channels, with each clip labeled by its source channel. The dataset contains 1,840,404 clips totaling 3,105.7 hours of audio, drawn from 27 channels and 90 clustered speakers, with a recommended subset of 1,547,494 clips covering 2,575.2 hours.

Appearances
2
Categories
2
First seen
21 September 2026
Latest
21 September 2026
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Recorded measurements

Published observations only. Missing dates are not zero, and points do not establish what happened between observations. Each source and unit is shown separately.

Hugging Face dataset · downloads

Hugging Face models & datasets · 2 dated measurements

Rolling download counts, not lifetime totals or downloads gained between these dates.

Latest value shown: 1,677 downloads ·

Higher values appear higher on the chart. The scale covers the recorded values.

Hugging Face dataset: downloads recorded measurements2 dated points, 14 Sept 2026 to 19 Sept 2026. Values range from 667 to 1,677 downloads. Higher values appear higher. Open the exact values and published evidence below for the data table. Dots are not connected; missing dates are not zero.14 Sept 2026: 667 downloads19 Sept 2026: 1,677 downloads
View 2 exact dated values and published evidence
Exact values and their published evidence
Measured onValue (downloads)Published in
667
1,677

“Measured on” uses the original observation date. “Published in” links to the edition that reported it; the dates may differ.

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Appearance history

2 appearances
This page records every appearance of the same entity in the reviewed RiseFinder exports. Rankings keep the original category, period and measurement direction.

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