annotations_creators:
- expert-generated
language_creators:
- expert-generated
languages:
- kk
license:
- cc-by-nc-4.0
multilinguality:
- monolingual
pretty_name: Kazakh Traditional Audio Archive
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- audio-classification
- automatic-speech-recognition
- text-to-speech
task_ids:
- multi-class-audio-classification
- automatic-speech-recognition
- text-to-speech
Dataset Card for Kazakh Traditional Audio Archive
Dataset Summary
The Kazakh Traditional Audio Archive is a curated open dataset containing rare and historical audio recordings from Kazakh culture. The dataset includes traditional musical forms such as kui, zhyr/terme, folk and composed songs, lullabies, retro music, and audio fairy tales.
These audio files are designed for use in machine learning tasks including ASR (Automatic Speech Recognition), TTS (Text-to-Speech), music classification, and ethnomusicological research.
Supported Tasks and Leaderboards
Supported Tasks:
audio-classification
: Classifying audio by genre or type (e.g., kui, zhyr, retro)automatic-speech-recognition
: Recognizing lyrics or speech in Kazakhtext-to-speech
: Synthesizing culturally appropriate TTS modelsaudio-generation
andaudio-captioning
(experimental)
Languages
The primary language of the dataset is Kazakh (kk
).
Dataset Structure
Data Fields
Each entry in the dataset has the following metadata:
file
: Relative path to audio filetitle
: Name of the piecetype
: One ofkui
,zhyr_terme
,an_kompozitor
,ertegi
,besik
,retro
language
: Always"kk"
(Kazakh)duration
: Duration of the audio in seconds
Example:
{
"file": "data/kui/kui_001.wav",
"title": "Saryzhailau",
"type": "kui",
"language": "kk",
"duration": 125.4
}
Data Splits
The dataset has a single train
split (default for cultural datasets).
Dataset Creation
Source Data
The recordings were collected from public domain sources and cultural preservation projects. All materials are either:
- Traditional public domain content
- Released by contributors for non-commercial research and academic purposes
Annotations
Metadata annotations were manually created by linguistic and cultural experts.
Licensing
This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0).
It may be used freely for research and non-commercial applications. Commercial use is prohibited.
Citation
If you use this dataset in your research or application, please cite as:
@misc{kazakh_audio_2025,
title={Kazakh Traditional Audio Archive},
author={Republican Television and Radio Corporation "Kazakhstan"},
year={2025},
howpublished={\url{https://huggingface.co/datasets/rtrk/kazakh-traditional-audio}},
note={Accessed April 2025}
}
Contributions
Curated and published by Republican Television and Radio Corporation "Kazakhstan".
Pull requests and metadata improvements are welcome.