SimbaBench_dataset / README.md
elmadany's picture
Update README.md
44b89d6 verified
---
configs:
- config_name: tts_test_ewe
data_files:
- split: test
path: tts_test/HF_test-ewe*
- config_name: tts_test_kin
data_files:
- split: test
path: tts_test/HF_test-kin*
- config_name: tts_test_Asante-twi
data_files:
- split: test
path: tts_test/HF_test-Asante-twi*
- config_name: tts_test_yor
data_files:
- split: test
path: tts_test/HF_test-yor*
- config_name: tts_test_wol
data_files:
- split: test
path: tts_test/HF_test-wol*
- config_name: tts_test_hau
data_files:
- split: test
path: tts_test/HF_test-hau*
- config_name: tts_test_lin
data_files:
- split: test
path: tts_test/HF_test-lin*
- config_name: tts_test_xho
data_files:
- split: test
path: tts_test/HF_test-xho*
- config_name: tts_test_tsn
data_files:
- split: test
path: tts_test/HF_test-tsn*
- config_name: tts_test_afr
data_files:
- split: test
path: tts_test/HF_test-afr*
- config_name: tts_test_sot
data_files:
- split: test
path: tts_test/HF_test-sot*
- config_name: tts_test_Akuapim-twi
data_files:
- split: test
path: tts_test/HF_test-Akuapim-twi*
- config_name: slid_61_test
data_files:
- split: test
path: slid_test/HF_merged_slid_test_61*
- config_name: asr_test_Akuapim-twi
data_files:
- split: test
path: asr_test/HF_test-Akuapim-twi*
- config_name: asr_test_Asante-twi
data_files:
- split: test
path: asr_test/HF_test-Asante-twi*
- config_name: asr_test_afr
data_files:
- split: test
path: asr_test/HF_test-afr*
- config_name: asr_test_amh
data_files:
- split: test
path: asr_test/HF_test-amh*
- config_name: asr_test_bas
data_files:
- split: test
path: asr_test/HF_test-bas*
- config_name: asr_test_bem
data_files:
- split: test
path: asr_test/HF_test-bem*
- config_name: asr_test_dav
data_files:
- split: test
path: asr_test/HF_test-dav*
- config_name: asr_test_dyu
data_files:
- split: test
path: asr_test/HF_test-dyu*
- config_name: asr_test_fat
data_files:
- split: test
path: asr_test/HF_test-fat*
- config_name: asr_test_fon
data_files:
- split: test
path: asr_test/HF_test-fon*
- config_name: asr_test_fuc
data_files:
- split: test
path: asr_test/HF_test-fuc*
- config_name: asr_test_fuf
data_files:
- split: test
path: asr_test/HF_test-fuf*
- config_name: asr_test_gaa
data_files:
- split: test
path: asr_test/HF_test-gaa*
- config_name: asr_test_hau
data_files:
- split: test
path: asr_test/HF_test-hau*
- config_name: asr_test_ibo
data_files:
- split: test
path: asr_test/HF_test-ibo*
- config_name: asr_test_kab
data_files:
- split: test
path: asr_test/HF_test-kab*
- config_name: asr_test_kin
data_files:
- split: test
path: asr_test/HF_test-kin*
- config_name: asr_test_kln
data_files:
- split: test
path: asr_test/HF_test-kln*
- config_name: asr_test_loz
data_files:
- split: test
path: asr_test/HF_test-loz*
- config_name: asr_test_lug
data_files:
- split: test
path: asr_test/HF_test-lug*
- config_name: asr_test_luo
data_files:
- split: test
path: asr_test/HF_test-luo*
- config_name: asr_test_mlq
data_files:
- split: test
path: asr_test/HF_test-mlq*
- config_name: asr_test_nbl
data_files:
- split: test
path: asr_test/HF_test-nbl*
- config_name: asr_test_nso
data_files:
- split: test
path: asr_test/HF_test-nso*
- config_name: asr_test_nya
data_files:
- split: test
path: asr_test/HF_test-nya*
- config_name: asr_test_sot
data_files:
- split: test
path: asr_test/HF_test-sot*
- config_name: asr_test_srr
data_files:
- split: test
path: asr_test/HF_test-srr*
- config_name: asr_test_ssw
data_files:
- split: test
path: asr_test/HF_test-ssw*
- config_name: asr_test_sus
data_files:
- split: test
path: asr_test/HF_test-sus*
- config_name: asr_test_swa
data_files:
- split: test
path: asr_test/HF_test-sw*
- config_name: asr_test_tig
data_files:
- split: test
path: asr_test/HF_test-tig*
- config_name: asr_test_tir
data_files:
- split: test
path: asr_test/HF_test-tir*
- config_name: asr_test_toi
data_files:
- split: test
path: asr_test/HF_test-toi*
- config_name: asr_test_tsn
data_files:
- split: test
path: asr_test/HF_test-tsn*
- config_name: asr_test_tso
data_files:
- split: test
path: asr_test/HF_test-tso*
- config_name: asr_test_twi
data_files:
- split: test
path: asr_test/HF_test-twi*
- config_name: asr_test_ven
data_files:
- split: test
path: asr_test/HF_test-ven*
- config_name: asr_test_wol
data_files:
- split: test
path: asr_test/HF_test-wol*
- config_name: asr_test_xho
data_files:
- split: test
path: asr_test/HF_test-xho*
- config_name: asr_test_yor
data_files:
- split: test
path: asr_test/HF_test-yor*
- config_name: asr_test_zgh
data_files:
- split: test
path: asr_test/HF_test-zgh*
- config_name: asr_test_zul
data_files:
- split: test
path: asr_test/HF_test-zul*
language:
- afr # Afrikaans
- amh # Amharic
- bas # Basaa
- bem # Bemba
- dyu # Dyula
- ee # Ewe
- fat # Fanti
- fon # Fon
- fra # French
- fuc # Pulaar
- fuf # Pular
- gaa # Ga
- hau # Hausa
- ibo # Igbo
- kab # Kabyle
- kin # Kinyarwanda
- kln # Kalenjin
- kon # Kongo
- lin # Lingala
- loz # Lozi
- lug # Ganda
- luo # Luo
- mlq # Western Maninkakan
- nbl # South Ndebele
- nso # Northern Sotho
- nya # Nyanja
- orm # Oromo
- por # Portuguese
- sna # Shona
- som # Somali
- sot # Southern Sotho
- ssw # Swati
- swa # Swahili
- tir # Tigrinya
- tig # Tigre
- toi # Tonga (Zambia)
- tsn # Tswana
- tso # Tsonga
- twi # Twi
- ven # Venda
- wol # Wolof
- xho # Xhosa
- yor # Yoruba
- zul # Zulu
- zgh # Standard Moroccan Tamazight
- aka # Akan (Akuapim/Asante Twi variants)
- mos # Mossi
- umb # Umbundu
- din # Dinka
- sag # Sango
- mlg # Malagasy
license: cc-by-4.0
tags:
- automatic-speech-recognition
- text-to-speech
- spoken-language-identification
- speech
- audio
- african-languages
- multilingual
- low-resource
- benchmark
- simbabench
- simba
task_categories:
- automatic-speech-recognition
- text-to-speech
- audio-classification
models:
- UBC-NLP/Simba-S
- UBC-NLP/Simba-M
- UBC-NLP/Simba-H
- UBC-NLP/Simba-W
- UBC-NLP/Simba-X
- UBC-NLP/Simba-TTS-twi-asanti
- UBC-NLP/Simba-TTS-lin
- UBC-NLP/Simba-TTS-sot
- UBC-NLP/Simba-TTS-tsn
- UBC-NLP/Simba-TTS-xho
- UBC-NLP/Simba-TTS-twi-akuapem
- UBC-NLP/Simba-TTS-afr
datasets:
- UBC-NLP/SimbaBench
---
<div align="center">
<img src="https://africa.dlnlp.ai/simba/images/VoC_logo.png" alt="VoC Logo">
[![EMNLP 2025 Paper](https://img.shields.io/badge/EMNLP_2025-Paper-B31B1B?style=for-the-badge&logo=arxiv&logoColor=B31B1B&labelColor=FFCDD2)](https://aclanthology.org/2025.emnlp-main.559/)
[![Official Website](https://img.shields.io/badge/Official-Website-2EA44F?style=for-the-badge&logo=googlechrome&logoColor=2EA44F&labelColor=C8E6C9)](https://africa.dlnlp.ai/simba/)
[![SimbaBench](https://img.shields.io/badge/SimbaBench-Benchmark-8A2BE2?style=for-the-badge&logo=googlecharts&logoColor=8A2BE2&labelColor=E1BEE7)](https://huggingface.co/spaces/UBC-NLP/SimbaBench)
[![GitHub Repository](https://img.shields.io/badge/GitHub-Repository-181717?style=for-the-badge&logo=github&logoColor=181717&labelColor=E0E0E0)](https://github.com/UBC-NLP/simba)
[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-FFD21E?style=for-the-badge&logoColor=181717&labelColor=FFF9C4)](https://huggingface.co/collections/UBC-NLP/simba-speech-series)
[![Hugging Face Dataset](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-FFD21E?style=for-the-badge&logoColor=181717&labelColor=FFF9C4)](https://huggingface.co/datasets/UBC-NLP/SimbaBench_dataset)
</div>
## SibmaBench Data Release & Benchmarking
To evaluate your model on **SimbaBench** across all supported tasks (ASR, TTS, and SLID), simply load the corresponding configuration for the task and language you wish to benchmark.
Each task is organized by configuration name (e.g., `asr_test_afr`, `tts_test_wol`, `slid_61_test`). Loading a configuration provides the standardized evaluation split for that specific benchmark.
Example:
```python
from datasets import load_dataset
data = load_dataset("UBC-NLP/SimbaBench_dataset", "asr_test_afr")
```
```
DatasetDict({
test: Dataset({
features: ['split', 'benchmark_id', 'audio', 'text', 'duration_s', 'lang_iso3', 'lang_name'],
num_rows: 1000
})
})
```
``` python
data['test'][0]
```
```
{'split': 'test',
'benchmark_id': 'afr_Lwazi_afr_test_idx3889',
'audio': {'path': None,
'array': array([ 4.27246094e-04, 7.62939453e-04, 6.71386719e-04, ...,
-3.05175781e-04, -2.13623047e-04, -6.10351562e-05]),
'sampling_rate': 16000},
'text': 'watter, verontwaardiging sou daar, in ons binneste gewees het?',
'duration_s': 5.119999885559082,
'lang_iso3': 'afr',
'lang_name': 'Afrikaans'}
```
## 📌 ASR Evaluation Configurations
| Config Name | Language | ISO | # Samples | # Hours |
|-------------|----------|-----|----------|--------|
| asr_test_Akuapim-twi | Akuapim-twi | Akuapim-twi | 1,000 | 1.35 |
| asr_test_Asante-twi | Asante-twi | Asante-twi | 1,000 | 0.97 |
| asr_test_afr | Afrikaans | afr | 1,000 | 0.87 |
| asr_test_amh | Amharic | amh | 581 | 1.12 |
| asr_test_bas | Basaa | bas | 582 | 0.76 |
| asr_test_bem | Bemba | bem | 1,000 | 2.15 |
| asr_test_dav | Taita | dav | 878 | 1.17 |
| asr_test_dyu | Dyula | dyu | 59 | 0.10 |
| asr_test_fat | Fanti | fat | 1,000 | 1.38 |
| asr_test_fon | Fon | fon | 1,000 | 0.66 |
| asr_test_fuc | Pulaar | fuc | 100 | 0.10 |
| asr_test_fuf | Pular | fuf | 129 | 0.03 |
| asr_test_gaa | Ga | gaa | 1,000 | 1.52 |
| asr_test_hau | Hausa | hau | 681 | 0.89 |
| asr_test_ibo | Igbo | ibo | 5 | 0.01 |
| asr_test_kab | Kabyle | kab | 1,000 | 1.05 |
| asr_test_kin | Kinyarwanda | kin | 1,000 | 1.50 |
| asr_test_kln | Kalenjin | kln | 1,000 | 1.50 |
| asr_test_loz | Lozi | loz | 399 | 0.91 |
| asr_test_lug | Ganda | lug | 1,000 | 1.65 |
| asr_test_luo | Luo (Kenya and Tanzania) | luo | 1,000 | 1.31 |
| asr_test_mlq | Western Maninkakan | mlq | 182 | 0.04 |
| asr_test_nbl | South Ndebele | nbl | 1,000 | 1.12 |
| asr_test_nso | Northern Sotho | nso | 1,000 | 0.88 |
| asr_test_nya | Nyanja | nya | 428 | 1.31 |
| asr_test_sot | Southern Sotho | sot | 1,000 | 0.82 |
| asr_test_srr | Serer | srr | 899 | 2.84 |
| asr_test_ssw | Swati | ssw | 1,000 | 0.93 |
| asr_test_sus | Susu | sus | 210 | 0.05 |
| asr_test_swa | Swahili | swa | 1,000 | 1.23 |
| asr_test_tig | Tigre | tig | 185 | 0.33 |
| asr_test_tir | Tigrinya | tir | 7 | 0.01 |
| asr_test_toi | Tonga (Zambia) | toi | 463 | 1.47 |
| asr_test_tsn | Tswana | tsn | 1,000 | 0.82 |
| asr_test_tso | Tsonga | tso | 1,000 | 0.99 |
| asr_test_twi | Twi | twi | 12 | 0.02 |
| asr_test_ven | Venda | ven | 1,000 | 0.92 |
| asr_test_wol | Wolof | wol | 1,000 | 1.19 |
| asr_test_xho | Xhosa | xho | 1,000 | 0.92 |
| asr_test_yor | Yoruba | yor | 359 | 0.42 |
| asr_test_zgh | Standard Moroccan Tamazight | zgh | 197 | 0.22 |
| asr_test_zul | Zulu | zul | 1,000 | 1.10 |
## 📌 TTS Evaluation Configurations
| Config Name | Language | ISO | # Samples | # Hours |
|----------------------|----------------|-------------|----------|--------|
| tts_test_ewe | Ewe | ewe | 66 | 0.29 |
| tts_test_kin | Kinyarwanda | kin | 1,053 | 1.30 |
| tts_test_Asante-twi | Asante-twi | Asante-twi | 64 | 0.18 |
| tts_test_yor | Yoruba | yor | 40 | 0.13 |
| tts_test_wol | Wolof | wol | 4,001 | 4.12 |
| tts_test_hau | Hausa | hau | 124 | 0.24 |
| tts_test_lin | Lingala | lin | 63 | 0.28 |
| tts_test_xho | Xhosa | xho | 242 | 0.31 |
| tts_test_tsn | Tswana | tsn | 238 | 0.36 |
| tts_test_afr | Afrikaans | afr | 293 | 0.34 |
| tts_test_sot | Southern Sotho | sot | 210 | 0.33 |
| tts_test_Akuapim-twi | Akuapim-twi | Akuapim-twi | 83 | 0.22 |
## 📌 SLID Evaluation
| Config Name | Language Scope | # Samples | # Hours |
|--------------|---------------|----------|--------|
| slid_61_test | 61 Languages | 21,817 | 34.36 |
---
## Citation
If you use the Simba models or SimbaBench benchmark for your scientific publication, or if you find the resources in this website useful, please cite our paper.
```bibtex
@inproceedings{elmadany-etal-2025-voice,
title = "Voice of a Continent: Mapping {A}frica{'}s Speech Technology Frontier",
author = "Elmadany, AbdelRahim A. and
Kwon, Sang Yun and
Toyin, Hawau Olamide and
Alcoba Inciarte, Alcides and
Aldarmaki, Hanan and
Abdul-Mageed, Muhammad",
editor = "Christodoulopoulos, Christos and
Chakraborty, Tanmoy and
Rose, Carolyn and
Peng, Violet",
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.emnlp-main.559/",
doi = "10.18653/v1/2025.emnlp-main.559",
pages = "11039--11061",
ISBN = "979-8-89176-332-6",
}
```