Turkmen Speech Dataset with 251 Hours of Audio and Transcriptions

251.86 hours of Turkmen speech audio paired with transcriptions, comprising 119,847 clips. The dataset was created by mamed0v and is hosted on Hugging Face, with a last recorded update in November 2025. It is described as one of the largest publicly available resources for the Turkmen language.

Use Cases

• Train Automatic Speech Recognition (ASR) models based on the 251 hours of Turkmen speech audio.
• Evaluate ASR model performance on Turkmen language using the provided transcriptions.
• Fine-tune pre-trained multilingual speech models for the Turkmen language.
• Conduct linguistic research on Turkmen phonetics and speech patterns.

Strengths

• Large scale with 251.86 hours of audio, which is significant for a lower-resource language.
• Contains 119,847 individual speech clips, providing many data points for training.
• Explicitly designed for ASR tasks with paired audio and text, indicating a clear purpose.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset contains only a 'train' split, which may complicate standard train/validation/test workflows.
• License details are not fully specified in the provided metadata, requiring verification.

Provenance

Source

huggingface

Collection Method

Collection method is not specified in the provided description.

Time Range

null

Freshness

Last updated 2025-11-01 07:05:20; freshness should be verified.

Geography

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