| --- |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| - name: audio |
| dtype: audio |
| - name: dialect |
| dtype: string |
| - name: speaker_id |
| dtype: string |
| - name: gender |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 889332942 |
| num_examples: 4862 |
| download_size: 480207301 |
| dataset_size: 889332942 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| language: |
| - am |
| license: cc-by-4.0 |
| task_categories: |
| - automatic-speech-recognition |
| - text-to-speech |
| tags: |
| - amharic |
| - africa |
| - ethiopia |
| - dialect |
| - speech |
| - asr |
| - tts |
| pretty_name: Leyu Amharic Wello Dialect |
| --- |
| |
| # Leyu Amharic - Wello Dialect Speech Corpus |
|
|
| ## Dataset Description |
|
|
| This dataset is a curated parallel speech corpus consisting of audio recordings paired with corresponding text transcripts, focused on the **Wello dialect** of the Amharic language. It is designed to support speech technology research across multiple tasks, including Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). The corpus captures dialect-specific phonetic variations, accent patterns, and prosodic characteristics unique to the Wello region. |
|
|
| All recordings were collected in real-world environments using mobile devices, introducing natural acoustic variability that improves model generalization. Each audio–text pair underwent manual review to ensure transcript accuracy and audio clarity. |
|
|
| ## Dataset Summary |
| | Metadata Field | Value | |
| |----------------|--------| |
| | Language | Amharic (am-ET) | |
| | Dialect | Wello | |
| | Audio Format | .wav | |
| | Total Hours | 114.7 Hours | |
| | Recording Environment | Mobile / Crowdsourced (Verified) | |
|
|
| ## Key Statistics |
| - **Total Duration:** 114.7 Hours |
| - **Speaker Count:** 68 Speakers (Male:27, Female: 41) |
| - **Data Quality:** Mobile-recorded and manually verified for transcript alignment. |
|
|
| ## Data Collection & Quality Assurance |
| - Recorded by contributors using mobile devices in real-world environments. |
| - Manually reviewed to ensure transcript alignment and audio clarity. |
|
|
| ## Data Fields |
| Each sample contains: |
| - `text` (string): transcript |
| - `audio` (Audio): waveform/audio file |
| - `dialect` (string): `wello` |
| - `speaker_id` (string): anonymized speaker identifier |
| - `gender` (string): `male` / `female` / `unknown` |
|
|
| ## iCog Blogs |
|
|
| - [Leyu: Crowdsourcing Datasets for Ethiopian Languages](https://leyu.ai/blog/1) |
| - [Dialects & Socioeconomics: Shaping Inclusive Language Models](https://leyu.ai/blog/3) |
| - [Progress of Natural Language Processing (NLP) for Ethiopian Languages – Part One](https://leyu.ai/blog/4) |
| - [Progress of Natural Language Processing (NLP) for Ethiopian Languages – Part Two](https://leyu.ai/blog/22) |
| - [Data Collection with Purpose: The Leyu Approach](https://leyu.ai/blog/23) |
|
|
