Datasets:
File size: 836 Bytes
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language:
- ha
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
tags:
- audio
- speech
- hausa
- african-voices
pretty_name: AfricanVoices Hausa Train
size_categories:
- 10K<n<100K
---
# AfricanVoices Hausa -- Train Split
Hausa speech dataset from [AfricanVoices.io](https://africanvoices.io).
## Usage
```python
from datasets import load_dataset
ds = load_dataset("suleiman2003/afri-temp-data4", split="train")
print(ds[0])
# {'audio': Audio(...), 'transcript': '...', 'gender': '...', ...}
```
## Structure
Each batch is in its own subdirectory under `train/`:
```
train/
batch_1/
*.flac + metadata.csv
batch_2/
*.flac + metadata.csv
...
```
Audio files are FLAC format. Metadata includes: transcript, speaker_id,
gender, age_group, education, duration, language, snr, domain.
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