Duplicate from gheero-Leyu/leyu-amharic-wello-dialect

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README.md

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+---
+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 | 108.03 Hours |
+| Recording Environment | Mobile / Crowdsourced (Verified) |
+
+## Key Statistics
+- **Total Duration:** 108.03 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)

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