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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 | |