--- 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 ---
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)
## 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", } ```