metadata
pretty_name: Turkmen Speech Dataset
language:
- tk
license: cc-by-nc-4.0
task_categories:
- automatic-speech-recognition
- text-to-speech
size_categories:
- 100K<n<1M
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
- name: duration
dtype: float32
- name: start
dtype: float32
- name: end
dtype: float32
- name: source
dtype: string
- name: speaker_id
dtype: string
- name: id
dtype: string
- name: language
dtype: string
- name: split
dtype: string
- name: sampling_rate
dtype: int32
splits:
- name: train
num_examples: 119853
dataset_size: 10043004
configs:
- config_name: default
data_files:
- split: train
path: data/metadata.csv
Turkmen Speech Dataset (ASR)
This dataset contains 251 hours of Turkmen speech audio with transcriptions, intended for training and evaluating Automatic Speech Recognition (ASR) models. It is one of the largest publicly available Turkmen speech datasets.
Dataset Overview
| Property | Value |
|---|---|
| Total clips | 119,847 |
| Total duration | 251.86 hours |
| Sampling rate | 16,000 Hz |
| Language | Turkmen (tk) |
| Split | train |
Each item includes:
- audio: waveform + sampling rate
- text: Turkmen transcription
- duration: clip length in seconds
- start/end timestamps from the original source
- source: YouTube link
- speaker_id: currently
unknown
Quality Notes
- 95% of clips are under 20 seconds, suitable for ASR model training
- Contains real-world spoken Turkmen (news, interviews, dialogues, narration)
- Correct diacritic usage
- No empty or silent clips
License
This dataset is released under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license.
You are free to:
- Use, share, and modify the dataset for research and non-commercial purposes only
You must:
- Provide proper attribution
- Not use the dataset or derivative works for commercial purposes
Full license text: https://creativecommons.org/licenses/by-nc/4.0/