ANV-SOT-Sample-1: Sesotho Sample Dataset - Next Voices-ZA (South Africa)

## Sesotho Sample Dataset - Next Voices-ZA (South Africa) - Multilingual Speech DatasetThis dataset includes **scripted and unscripted speech** across various domains such as agriculture, health, finance, sports, transport, culture, society and general topics. It is primarily designed for automatic speech recognition (ASR).## Folder structure
The dataset is organised hierarchically as follows:

## Folder StructureANV-ZA-SOT-1h/├── sot/                  # Folder for Sesotho│   ├── recorder_uuid/    # Contains all audio files│   │   ├── recording-1731053452.wav│   │   ├── ...│   ├── transcripts.csv    # Contains transcripts of all audio recordings│   ├── meta.csv          # Contains additional metadata├── README.md             # Description of the dataset
## Data Details

### Audio- Format: **16-bit PCM WAV**- Sample rate: **48kHz**

### Transcriptions- Provided in `transcript.csv` with fields:  - `file_name`: Name of the audio file.  - `transcript`: Text transcription of the audio.  - `duration`: Duration of the recording in seconds.  - `type`: Scripted or unscripted.

### Metadata- Provided in `meta.csv` with fields:  - `recorder_uuid`: Unique speaker identifier.  - `age_range`,  - `gender`

## Contact PersonPlease contact [e-mail] if you have any questions## CitationTBA

## FundingFunding for this project was generously made possible through a grant from the Bill & Melinda Gates Foundation and a gift from Meta.