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Bold
values indicate the best performance for each language/metric.
Language Codes
eng
: English
amh
: Amharic
ewe
: Ewe
hau
: Hausa
ibo
: Igbo
kin
: Kinyarwanda
lin
: Lingala
lug
: Luganda
orm
: Oromo
sna
: Shona
sot
: Sesotho
swa
: Swahili
twi
: Twi
wol
: Wolof
xho
: Xhosa
yor
: Yoruba
zul
: Zulu
Citation
@misc{yu2025injongo,
title={INJONGO: A Multicultural Intent Detection and Slot-filling Dataset for 16 African Languages},
author={Hao Yu and Jesujoba O. Alabi and Andiswa Bukula and Jian Yun Zhuang and En-Shiun Annie Lee and Tadesse Kebede Guge and Israel Abebe Azime and Happy Buzaaba and Blessing Kudzaishe Sibanda and Godson K. Kalipe and Jonathan Mukiibi and Salomon Kabongo Kabenamualu and Mmasibidi Setaka and Lolwethu Ndolela and Nkiruka Odu and Rooweither Mabuya and Shamsuddeen Hassan Muhammad and Salomey Osei and Sokhar Samb and Juliet W. Murage and Dietrich Klakow and David Ifeoluwa Adelani},
year={2025},
eprint={2502.09814},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.09814},
}
@misc{adelani2023sib200,
title={SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects},
author={David Ifeoluwa Adelani and Hannah Liu and Xiaoyu Shen and Nikita Vassilyev and Jesujoba O. Alabi and Yanke Mao and Haonan Gao and Annie En-Shiun Lee},
year={2023},
eprint={2309.07445},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Runs of McGill-NLP gemma-2-9b-it-Injongo-intent on huggingface.co
12
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
2
30-day runs
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