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WaxalNLP

Tasks:
Automatic Speech Recognition
Text-to-Speech
Modalities:
Audio
Text
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Languages:
Acoli
Akan
Amharic
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automatic-speech-recognition
text-to-speech
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---
language_creators:
- creator_1
language:
- ach
- aka
- amh
- dag
- dga
- ewe
- fat
- ful
- hau
- ibo
- kik
- kpo
- lin
- lug
- luo
- mas
- mlg
- nyn
- orm
- sid
- sna
- sog
- swa
- tir
- twi
- wal
- yor
license:
- cc-by-sa-4.0
- cc-by-4.0
multilinguality:
- multilingual
source_datasets:
- UGSpeechData
- DigitalUmuganda/AfriVoice
- original
task_categories:
- automatic-speech-recognition
- text-to-speech
pretty_name: Waxal NLP Datasets
arxiv: 2602.02734
annotation_creators:
- human-annotated
- crowdsourced
tags:
- audio
- automatic-speech-recognition
- text-to-speech
configs:
- config_name: ach_asr
 data_files:
 - split: train
 path: data/ASR/ach/ach-train-*
 - split: validation
 path: data/ASR/ach/ach-validation-*
 - split: test
 path: data/ASR/ach/ach-test-*
 - split: unlabeled
 path: data/ASR/ach/ach-unlabeled-*
- config_name: ach_tts
 data_files:
 - split: train
 path: data/TTS/ach/ach-train-*
 - split: validation
 path: data/TTS/ach/ach-validation-*
 - split: test
 path: data/TTS/ach/ach-test-*
- config_name: aka_asr
 data_files:
 - split: train
 path: data/ASR/aka/aka-train-*
 - split: validation
 path: data/ASR/aka/aka-validation-*
 - split: test
 path: data/ASR/aka/aka-test-*
 - split: unlabeled
 path: data/ASR/aka/aka-unlabeled-*
- config_name: amh_asr
 data_files:
 - split: train
 path: data/ASR/amh/amh-train-*
 - split: validation
 path: data/ASR/amh/amh-validation-*
 - split: test
 path: data/ASR/amh/amh-test-*
 - split: unlabeled
 path: data/ASR/amh/amh-unlabeled-*
- config_name: dag_asr
 data_files:
 - split: train
 path: data/ASR/dag/dag-train-*
 - split: validation
 path: data/ASR/dag/dag-validation-*
 - split: test
 path: data/ASR/dag/dag-test-*
 - split: unlabeled
 path: data/ASR/dag/dag-unlabeled-*
- config_name: dga_asr
 data_files:
 - split: train
 path: data/ASR/dga/dga-train-*
 - split: validation
 path: data/ASR/dga/dga-validation-*
 - split: test
 path: data/ASR/dga/dga-test-*
 - split: unlabeled
 path: data/ASR/dga/dga-unlabeled-*
- config_name: ewe_asr
 data_files:
 - split: train
 path: data/ASR/ewe/ewe-train-*
 - split: validation
 path: data/ASR/ewe/ewe-validation-*
 - split: test
 path: data/ASR/ewe/ewe-test-*
 - split: unlabeled
 path: data/ASR/ewe/ewe-unlabeled-*
- config_name: fat_tts
 data_files:
 - split: train
 path: data/TTS/fat/fat-train-*
 - split: validation
 path: data/TTS/fat/fat-validation-*
 - split: test
 path: data/TTS/fat/fat-test-*
- config_name: ful_asr
 data_files:
 - split: train
 path: data/ASR/ful/ful-train-*
 - split: validation
 path: data/ASR/ful/ful-validation-*
 - split: test
 path: data/ASR/ful/ful-test-*
 - split: unlabeled
 path: data/ASR/ful/ful-unlabeled-*
- config_name: ful_tts
 data_files:
 - split: train
 path: data/TTS/ful/ful-train-*
 - split: validation
 path: data/TTS/ful/ful-validation-*
 - split: test
 path: data/TTS/ful/ful-test-*
- config_name: hau_tts
 data_files:
 - split: train
 path: data/TTS/hau/hau-train-*
 - split: validation
 path: data/TTS/hau/hau-validation-*
 - split: test
 path: data/TTS/hau/hau-test-*
- config_name: ibo_tts
 data_files:
 - split: train
 path: data/TTS/ibo/ibo-train-*
 - split: validation
 path: data/TTS/ibo/ibo-validation-*
 - split: test
 path: data/TTS/ibo/ibo-test-*
- config_name: kik_tts
 data_files:
 - split: train
 path: data/TTS/kik/kik-train-*
 - split: validation
 path: data/TTS/kik/kik-validation-*
 - split: test
 path: data/TTS/kik/kik-test-*
- config_name: kpo_asr
 data_files:
 - split: train
 path: data/ASR/kpo/kpo-train-*
 - split: validation
 path: data/ASR/kpo/kpo-validation-*
 - split: test
 path: data/ASR/kpo/kpo-test-*
 - split: unlabeled
 path: data/ASR/kpo/kpo-unlabeled-*
- config_name: lin_asr
 data_files:
 - split: train
 path: data/ASR/lin/lin-train-*
 - split: validation
 path: data/ASR/lin/lin-validation-*
 - split: test
 path: data/ASR/lin/lin-test-*
 - split: unlabeled
 path: data/ASR/lin/lin-unlabeled-*
- config_name: lug_asr
 data_files:
 - split: train
 path: data/ASR/lug/lug-train-*
 - split: validation
 path: data/ASR/lug/lug-validation-*
 - split: test
 path: data/ASR/lug/lug-test-*
 - split: unlabeled
 path: data/ASR/lug/lug-unlabeled-*
- config_name: lug_tts
 data_files:
 - split: train
 path: data/TTS/lug/lug-train-*
 - split: validation
 path: data/TTS/lug/lug-validation-*
 - split: test
 path: data/TTS/lug/lug-test-*
- config_name: luo_tts
 data_files:
 - split: train
 path: data/TTS/luo/luo-train-*
 - split: validation
 path: data/TTS/luo/luo-validation-*
 - split: test
 path: data/TTS/luo/luo-test-*
- config_name: mas_asr
 data_files:
 - split: train
 path: data/ASR/mas/mas-train-*
 - split: validation
 path: data/ASR/mas/mas-validation-*
 - split: test
 path: data/ASR/mas/mas-test-*
 - split: unlabeled
 path: data/ASR/mas/mas-unlabeled-*
- config_name: mlg_asr
 data_files:
 - split: train
 path: data/ASR/mlg/mlg-train-*
 - split: validation
 path: data/ASR/mlg/mlg-validation-*
 - split: test
 path: data/ASR/mlg/mlg-test-*
 - split: unlabeled
 path: data/ASR/mlg/mlg-unlabeled-*
- config_name: nyn_asr
 data_files:
 - split: train
 path: data/ASR/nyn/nyn-train-*
 - split: validation
 path: data/ASR/nyn/nyn-validation-*
 - split: test
 path: data/ASR/nyn/nyn-test-*
 - split: unlabeled
 path: data/ASR/nyn/nyn-unlabeled-*
- config_name: nyn_tts
 data_files:
 - split: train
 path: data/TTS/nyn/nyn-train-*
 - split: validation
 path: data/TTS/nyn/nyn-validation-*
 - split: test
 path: data/TTS/nyn/nyn-test-*
- config_name: orm_asr
 data_files:
 - split: train
 path: data/ASR/orm/orm-train-*
 - split: validation
 path: data/ASR/orm/orm-validation-*
 - split: test
 path: data/ASR/orm/orm-test-*
 - split: unlabeled
 path: data/ASR/orm/orm-unlabeled-*
- config_name: sid_asr
 data_files:
 - split: train
 path: data/ASR/sid/sid-train-*
 - split: validation
 path: data/ASR/sid/sid-validation-*
 - split: test
 path: data/ASR/sid/sid-test-*
 - split: unlabeled
 path: data/ASR/sid/sid-unlabeled-*
- config_name: sna_asr
 data_files:
 - split: train
 path: data/ASR/sna/sna-train-*
 - split: validation
 path: data/ASR/sna/sna-validation-*
 - split: test
 path: data/ASR/sna/sna-test-*
 - split: unlabeled
 path: data/ASR/sna/sna-unlabeled-*
- config_name: tir_asr
 data_files:
 - split: train
 path: data/ASR/tir/tir-train-*
 - split: validation
 path: data/ASR/tir/tir-validation-*
 - split: test
 path: data/ASR/tir/tir-test-*
 - split: unlabeled
 path: data/ASR/tir/tir-unlabeled-*
- config_name: sog_asr
 data_files:
 - split: train
 path: data/ASR/sog/sog-train-*
 - split: validation
 path: data/ASR/sog/sog-validation-*
 - split: test
 path: data/ASR/sog/sog-test-*
 - split: unlabeled
 path: data/ASR/sog/sog-unlabeled-*
- config_name: swa_tts
 data_files:
 - split: train
 path: data/TTS/swa/swa-train-*
 - split: validation
 path: data/TTS/swa/swa-validation-*
 - split: test
 path: data/TTS/swa/swa-test-*
- config_name: twi_tts
 data_files:
 - split: train
 path: data/TTS/twi/twi-train-*
 - split: validation
 path: data/TTS/twi/twi-validation-*
 - split: test
 path: data/TTS/twi/twi-test-*
- config_name: yor_tts
 data_files:
 - split: train
 path: data/TTS/yor/yor-train-*
 - split: validation
 path: data/TTS/yor/yor-validation-*
 - split: test
 path: data/TTS/yor/yor-test-*
- config_name: wal_asr
 data_files:
 - split: train
 path: data/ASR/wal/wal-train-*
 - split: validation
 path: data/ASR/wal/wal-validation-*
 - split: test
 path: data/ASR/wal/wal-test-*
 - split: unlabeled
 path: data/ASR/wal/wal-unlabeled-*
dataset_info:
- config_name: ach_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: ach_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: aka_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: dag_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: dga_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: ewe_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: fat_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: ful_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: ful_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: hau_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: ibo_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: kik_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: kpo_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: lin_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: lug_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: lug_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: luo_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: mas_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: mlg_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: nyn_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: nyn_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: sna_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: sog_asr
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: transcription
 dtype: string
 - name: language
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: swa_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: twi_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
- config_name: yor_tts
 features:
 - name: id
 dtype: string
 - name: speaker_id
 dtype: string
 - name: text
 dtype: string
 - name: locale
 dtype: string
 - name: gender
 dtype: string
 - name: audio
 dtype: audio
size_categories:
- 1M<n<10M
---
# Waxal Datasets
The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in the paper [WAXAL: A Large-Scale Multilingual African Language Speech Corpus](https://huggingface.co/papers/2602.02734).
## Table of Contents
- [Dataset Description](#dataset-description)
 - [ASR Dataset](#asr-dataset)
 - [TTS Dataset](#tts-dataset)
 - [How to Use](#how-to-use)
- [Dataset Structure](#dataset-structure)
 - [ASR Data Fields](#asr-data-fields)
 - [TTS Data Fields](#tts-data-fields)
 - [Data Splits](#data-splits)
- [Dataset Curation](#dataset-curation)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Additional Information](#additional-information)
- [Citation](#citation)
## Dataset Description
The Waxal project provides datasets for both Automated Speech Recognition (ASR)
and Text-to-Speech (TTS) for African languages. The goal of this dataset's
creation and release is to facilitate research that improves the accuracy and
fluency of speech and language technology for these underserved languages, and
to serve as a repository for digital preservation.
The Waxal datasets are collections acquired through partnerships with Makerere
University, The University of Ghana, Digital Umuganda, and Media Trust.
Acquisition was funded by Google and the Gates Foundation under an agreement to
make the dataset openly accessible.
### ASR Dataset
The Waxal ASR dataset is a collection of data in 19 African languages. It
consists of approximately 1,250 hours of transcribed natural speech from a wide
variety of voices. The 19 languages in this dataset represent over 100 million
speakers across 40 Sub-Saharan African countries.
Provider | Languages | License
:------------------ | :--------------------------------------- | :------------:
Makerere University | Acholi, Luganda, Masaaba, Nyankole, Soga | `CC-BY-SA-4.0`
University of Ghana | Akan, Ewe, Dagbani, Dagaare, Ikposo | `CC-BY-4.0`
Digital Umuganda | Fula, Lingala, Shona, Malagasy, Amharic, Oromo, Sidama, Tigrinya, Wolaytta | `CC-BY-SA-4.0`
### TTS Dataset
The Waxal TTS dataset is a collection of text-to-speech data in 16 African
languages. It consists of over 180 hours of high-quality, single-speaker recordings reading phonetically balanced scripts.
Provider | Languages | License
:------------------ | :----------------------------------- | :------------:
Makerere University | Acholi, Luganda, Kiswahili, Nyankole | `CC-BY-SA-4.0`
University of Ghana | Akan (Fante, Twi) | `CC-BY-4.0`
Media Trust | Fula, Igbo, Hausa, Yoruba | `CC-BY-SA-4.0`
Loud and Clear | Kikuyu, Luo | `CC-BY-SA-4.0`
### How to Use
The `datasets` library allows you to load and pre-process your dataset in pure
Python, at scale.
First, ensure you have the necessary dependencies installed to handle audio
data. You will need `ffmpeg` installed on your system.
**Google Colab / Ubuntu**
```bash
sudo apt-get install ffmpeg
pip install datasets[audio]
```
**macOS**
```bash
brew install ffmpeg
pip install datasets[audio]
```
**Windows**
Download and install from [ffmpeg.org](https://ffmpeg.org/download.html) and ensure it's in your PATH.
```bash
pip install datasets[audio]
```
If you encounter `RuntimeError: Could not load libtorchcodec`, please ensure `ffmpeg` is correctly installed or check for compatibility between your `torch`, `torchaudio`, and `torchcodec` versions.
**Loading ASR Data**
To load ASR data for a specific language, specify the configuration name, e.g.
`sna_asr` for Shona ASR data.
```python
from datasets import load_dataset, Audio
# Load Shona (sna) ASR dataset
asr_data = load_dataset("google/WaxalNLP", "sna_asr")
# Access splits
train = asr_data['train']
val = asr_data['validation']
test = asr_data['test']
# Example: Accessing audio bytes and other fields
example = train[0]
print(f"Transcription: {example['transcription']}")
print(f"Sampling Rate: {example['audio']['sampling_rate']}")
# 'array' contains the decoded audio bytes as a numpy array
print(f"Audio Array Shape: {example['audio']['array'].shape}")
```
**Loading TTS Data**
To load TTS data for a specific language, specify the configuration name, e.g.
`swa_tts` for Swahili TTS data.
```python
from datasets import load_dataset
# Load Swahili (swa) TTS dataset
tts_data = load_dataset("google/WaxalNLP", "swa_tts")
# Access splits
train = tts_data['train']
```
## Dataset Structure
### ASR Data Fields
```python
{
 'id': 'sna_0',
 'speaker_id': '...',
 'audio': {
 'array': [...],
 'sample_rate': 16_000
 },
 'transcription': '...',
 'language': 'sna',
 'gender': 'Female',
}
```
* **id**: Unique identifier.
* **speaker_id**: Unique identifier for the speaker.
* **audio**: Audio data.
* **transcription**: Transcription of the audio.
* **language**: ISO 639-2 language code.
* **gender**: Speaker gender ('Male', 'Female', or empty).
### TTS Data Fields
```python
{
 'id': 'swa_0',
 'speaker_id': '...',
 'audio': {
 'array': [...],
 'sample_rate': 16_000
 },
 'text': '...',
 'locale': 'swa',
 'gender': 'Female',
}
```
* **id**: Unique identifier.
* **speaker_id**: Unique identifier for the speaker.
* **audio**: Audio data.
* **text**: Text script.
* **locale**: ISO 639-2 language code.
* **gender**: Speaker gender.
### Data Splits
For the **ASR Dataset**, the data with transcriptions is split as follows: *
**train**: 80% of labeled data. * **validation**: 10% of labeled data. *
**test**: 10% of labeled data.
The **unlabeled** split contains all samples that do not have a corresponding
transcription.
The **TTS Dataset** follows a similar structure, with data split into `train`,
`validation`, and `test` sets.
## Dataset Curation
The data was gathered by multiple partners:
Provider | Dataset | License
:------------------ | :------------------------------------------------------- | :------
University of Ghana | [UGSpeechData](https://doi.org/10.57760/sciencedb.22298) | `CC BY 4.0`
Digital Umuganda | [AfriVoice](DigitalUmuganda/AfriVoice) | `CC-BY-SA 4.0`
Makerere University | [Yogera Dataset](https://doi.org/10.7910/DVN/BEROE0) | `CC-BY-SA 4.0`
Media Trust | | `CC-BY-SA 4.0`
## Considerations for Using the Data
Please check the license for the specific languages you are using, as they may
differ between providers.
**Affiliation:** Google Research
## Version and Maintenance
- **Current Version:** 1.0.0
- **Last Updated:** 01/2026
## Citation
```bibtex
@article{waxal2026,
 title={WAXAL: A Large-Scale Multilingual African Language Speech Corpus},
 author={Anonymous},
 journal={arXiv preprint arXiv:2602.02734},
 year={2026}
}
```