Mghana-st: Short Local-Language Audio Clips for Speech Tasks

mghana-st is a curated audio dataset of short local-language audio clips. The dataset is intended for speech tasks and contains annotations with English translations and tags for non-verbal events. It was created by adwumatech-ai and last updated on June 13, 2026.

Use Cases

• Speech recognition based on short local-language audio clips.
• Speaker identification based on the audio clips collected from various sources.
• Speech clustering based on the annotated audio data.
• Speech translation based on the provided English translations.
• Analysis of non-verbal events based on the provided tags.

Strengths

• Dataset is curated, suggesting some level of quality control.
• Contains annotations for English translations and non-verbal event tags.
• Last updated on June 13, 2026, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

huggingface dataset by adwumatech-ai.

Collection Method

Collected from various sources, likely curated.

Freshness

Last updated 2026-06-13 15:05:36; freshness should be verified.

Geography

Likely Ghana, inferred from the dataset name 'mghana-st'.