---
dataset_info:
  features:
  - name: recorder_uuid
    dtype: string
  - name: type
    dtype: string
  - name: file_name
    dtype: string
  - name: full_path
    dtype: string
  - name: domain
    dtype: string
  - name: topic
    dtype: string
  - name: scenario
    dtype: string
  - name: text
    dtype: string
  - name: duration
    dtype: float64
  - name: size_bytes
    dtype: int64
  - name: microphone_device_id
    dtype: string
  - name: microphone_label
    dtype: string
  - name: audio
    dtype: audio
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 227974446
    num_examples: 100
  download_size: 211404519
  dataset_size: 227974446
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- st
tags:
- anv
pretty_name: anv-za-sot-1h-sample-dataset
size_categories:
- 1K<n<10K
extra_gated_prompt: "I agree to use this data with the license conditions and use restrictions. You agree to NOT USE the data for creating models for any form of text-to-speech (TTS), voice cloning, voice synthesis, or any technology intended to replicate or generate human voices."
extra_gated_fields:
  Company: text
  Country: country
  Specific date: date_picker
  I want to use this model for:
    type: select
    options: 
      - Research
      - Education
      - label: Other
        value: other
  I agree to use this data with the license conditions and use restrictions: checkbox
---


## Sesotho Sample Dataset - Next Voices-ZA (South Africa) - Multilingual Speech Dataset - Sesotho

[![Zenodo](https://zenodo.org/badge/DOI/10.5281/zenodo.14336303.svg)](https://doi.org/10.5281/zenodo.14336303)


This 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).

### Use Restriction:


> The persons whose voices are included in this dataset, and the creators and owners of this dataset* do not give consent in any manner or form to, and strictly prohibit any use of this dataset for any form of text-to-speech (TTS), voice cloning, voice synthesis, or any technology or activity intended to replicate, mimic or generate human voices or any technology or activity resulting in the replication, mimicry or generation of  human voices.
 
This 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 use in automatic speech recognition (ASR) tasks.

Use of this dataset for any form of text-to-speech (TTS), voice cloning, voice synthesis, or any technology intended to replicate or generate human voices is strictly prohibited.

These restrictions are in place until further notice.

## Folder structure
The dataset is organised hierarchically as follows:

## Folder Structure

```
ANV-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 overview


### 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 such as:
  - `recorder_uuid`: Unique speaker identifier.
  - `age_range`, `gender`

## Citation Information

Bibtex Reference (last updated 10/02/2025)

```
@dataset{marivate_2024_14336304,
  author       = {Marivate, Vukosi and
                  Olaleye, Kayode and
                  Mundia, Sitwala and
                  van Wyk, Nia Zion and
                  Bakainaga, Andinda and
                  Morrissey, Graham and
                  Dunbar, Dale and
                  Smit, Francois and
                  Mogale, Hope Tsholofelo and Okorie, Chijioke},
  title        = {ANV-SOT-Sample-1: Sesotho Sample Dataset - Next
                   Voices-ZA (South Africa)
                  },
  month        = dec,
  year         = 2024,
  publisher    = {Zenodo},
  version      = {0.0.2},
  doi          = {10.5281/zenodo.14336304},
  url          = {https://doi.org/10.5281/zenodo.14336304},
}
```