Datasets:
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language:
- ha
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
tags:
- audio
- speech
- hausa
- african-voices
- asr
pretty_name: AfricanVoices Hausa Train
size_categories:
- 10K<n<100K
---
# AfricanVoices Hausa — Train Split
Hausa speech dataset from [AfricanVoices.io](https://africanvoices.io), uploaded in
Hugging Face `audiofolder` format.
## Usage
```python
from datasets import load_dataset
ds = load_dataset("suleiman2003/afri-temp-data2", split="train")
print(ds[0])
# {{'audio': Audio(...), 'transcript': '...', 'gender': '...', ...}}
```
## Dataset Structure
Each sample contains:
| Field | Description |
|---|---|
| `audio` | FLAC audio file (auto-loaded by HF) |
| `transcript` | Hausa text transcription |
| `speaker_id` | Speaker identifier |
| `gender` | Speaker gender (m/f) |
| `age_group` | Speaker age bracket |
| `education` | Education level |
| `duration` | Audio duration (seconds) |
| `language` | Language code |
| `snr` | Signal-to-noise ratio |
| `domain` | Topic domain (ev/ag/he/bu) |
## Source
- **Platform**: [AfricanVoices.io](https://africanvoices.io)
- **Organization**: Data Science Nigeria
- **Supported by**: Gates Foundation
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